Example-Based Hairstyle Advisor
|
|
- Gladys Edwards
- 5 years ago
- Views:
Transcription
1 Example-Based Hairstyle Advisor Wei Yang, Masahiro Toyoura and Xiaoyang Mao University of Yamanashi,Japan Abstract Hairstyle is one of the most important features to characterize one s appearance. Whether a hairstyle is suitable or not is said to be closely related to one s face shape. This paper proposes a new technique for automatically finding one s suitable hairstyle from a collection of successful hairstyle examples. A hair-face image composition method utilizing modern matting techniques is also developed for the synthesis of realistic hairstyle images. The effectiveness of the proposed technique has been validated through a subject study. 1. Introduction Hairstyle is one of the most important features to determine one s appearance and mood. A person can look completely different simply by changing her hairstyle. Everyone would like to have a suitable hairstyle making her look attractive, but it is usually difficult to find such one as we cannot easily try out various styles with our real hair. Several commercial or free software have been developed allowing users to simulate their look in different hairstyles by manually selecting hairstyle samples and superimposing them over their face images[1-2]. Although those systems do provide some general guideline on hairstyle choosing, they do not provide any hints on what s the suitable hairstyle for a particular face. Therefore the user usually needs to go through a very tedious process trying out many different hairstyles before the desired one can be found. On the other hand, in the field of computer graphic, there exist several excellent works related with hairstyle[3] or [4] or [5] or [6]. However, to the best of our knowledge, all those works focused on how to model and render hairstyles with computer graphics and are mainly applied for creating virtual characters and animations. In this paper, we propose a new technique for automatically finding the suitable hairstyle for a given face. There are many factors may affect how one would look to be in a particular hairstyle. We started our project by interviewing several successful hair stylists and an important fact we observed is that although there are no stylists can tell any explicit rules about their design, they all view the shape of the face as the most important attribute in desining a hairstyle. This inspired us to adopt an example-based frame work, an approach which has been successfully used for texture synthesis[7,8] and style transferring [9,10] in recent years. Our new technique finds the suitable hairstyles for a given face by learning the relationship between face shapes and the examples of successful hairstyles. The major contribution of this paper can be summarized as follows: 1. A new framework for finding suitable hairstyles from successful hairstyle examples. 2. A hair-face image composition method utilizing modern matting techniques for automatic realistic hairstyle image synthesis. 3. A subject study demonstrating the validity of the feature vector and the effectiveness of the examplebased approach. The remainder of the paper is organized as follows: After presenting the example-based framework in Section 2, we describes the design and computing of the feature vector used for search the best hairstyles in Section 3. Section 4 addresses the synthesis of realistic hairstyle image. Section 5 discusses the implementation and shows the results of evaluation experiments. Section 6 concludes the paper and shows several future research directions. 2. Example-based framework Given a face image I input, we want to create another image I output with a hairstyle S matching the face best. We realize it in two steps: Searching: Find the most similar face shape in feature vectors space and adopt the hairstyle as the suitble hairstyle S. Composition: Superimpose the hairstyle S over the face image I input to obtain a realistic image I output of the face in a suitable hairstyle.
2 Figure 1: System Framework 2.1 System overview As shown in Figure 1, our system assumes n successful hairstyle images I i (i=1,2 n) is available. At seraching phase, the following operations are executed to build a database set T(V i, i)(i=1,...n) where V i is the feature vector characterizing the shape of each face I i and i is the α-matte indicating the probability of hair area in the image: 1. Apply robust matting technique[11] to I i (i=1,2 n) to create i(i=1,2 n). 2. A trained ASM model is used to detect the facial feature points on I i (i=1,2 n). 3. Construct the feature vector V i (i=1,2 n) from the ASM feature points. While the first operation requires the manual specification of example strokes to create the tri-map for estimating the α-matte, other two operations are performed in a fully automatic way. At composition phase, given a face image I input,the system perform the following operations to compute a set of suitable hairstyles for I input. 1. Apply a trained ASM model to detect the facial feature points of I input. 2. Construct the feature vector V Input characterizing the shape of the face in I input. 3. Search through all the images in database in the feature vector space. 4. Sort d(v i, V input ) 5. Take the top k image I i (j=1,..k) and composite them with I input using i (j=1,..k). The design of feature vector V is crucial for obtaining a good result, as well as for a fast searching through the training examples. We will discuss it in detail in the next Section. oval round triangle home base (a)shapes of face (b) Hairstyle for round face Figure 2: Face shape and its relationship to hairstyle 3. Feature vector design ASM[12] is one of the most popular techniques for detecting the geometric features of faces from images. Instead of using ASM directly, we want to have a more compact feature vector, which can well model the relationship between face shape and hairstyles. As shown in Figure 2(a), it is known that human faces can be roughly classified into 4 categories by shape: oval, round, triangle and home base. A hairstyle giving an impression of a oval shaped face is likely to be a suitable one[13]. For example, as shown in Figure 2(b), in case of a round face, the styles with long bangs flowing smoothly toward two sides or back makes the face look longer and hence are suitable, while the one with flat cut bangs and a thick volume on top of the head is not suitable because it further emphasizing the impression of round shape. To learn such kind of relationship between face shape and hairstyle, we first compute the following 6 line segments (Figure 3(b) ):
3 h : the center vertical line segment w 1 : the horizontal line segment at the height of eyebrows w 2 : the horizontal line segment at the widest position of the face area w 3 : the horizontal line segment at the height of mouth h t : the vertical line segment from the top of the face to the cross-section of h and w 1 h b : the vertical line segment from the bottom of the face to the cross-section of h and w 3 from the above 6 line segments, we define a 6-dimensional feature vector V(v 1,v 2,v 3,v 4,v 5,v 6 ) with v j (j=1,2,..6) being the ratio of two line segments, normalized to be in (0,1] (Figure 3(c)). To automatically compute the feature vector, we trained the ASM model so that it includes the end points of the 6 line segments as the feature vector(figure 3(a)). The distance function is defined as d(i,i input )= (4) The coefficient k j (j=1,..6) controls the weight of each dimension in deciding the hairstyle. For example, if we use a large k 1 and a small k 2, then the system would treat the aspect ratio of the face more important and the shape of cheek less important in deciding the suitable hairstyle. Two faces with different shapes of cheek but similar aspect ratio may be suggested with similar hairstyles. In our current implementation, we set all the 6 coefficients to be equal to treat all dimensions homogenously. We plan to explore the best coefficients through machine learning in our future work. v 4 = v 5 = v 6 = (b) component of feature vector Figure 3: features vetors 4. Hairstyle image synthesis Before we can superimpose an obtained hairstyle image S over the input face image I input, position alignment and size adjustment between two images are required. This is realized by a scaling of H with / in width, / h H in height, followed by a translation aligning the upper end point of h H with that of. As shown in Figure 4(a), due to the fitting error of ASM model, we may fail to obtain a centered h H or, and this may result in a unnatural composition like the one in Figure 4(b). To correct the error, we translate h in horizontal direction by a displacement D (Figure 4 (c)) : Figure 4(d) shows an improved result obtained by using the new position of h H and for position alignment. (5) (a) error of h (b) result with the displaced h (a) result by ASM (b) feature lines v 1 = v 2 = v 3 = (c)correction of h (d)result with the corrected h Figure 4: position alignment
4 Finally the α-matte of S is used to composite S and I input to obtain the output image I output Here p(x,y) is the pixel, and, H p,i p, are the pixal value of the out put hairtyle image, the input image and the suitable haistyles suggested by the system, respective. Figure 5 compares the results of binary mask based composition and, our matting based method. We can see our method produces more realistic images, especially at the regions near the boundary of hair. (6) (a) with binary mask (b) -matte Figure 5: Compare the composition result using a binary mask and -matte 5. Implementation and evaluation 5.1 Implementation and result. In our current implementation, we built a training data set consisting 84 hairstyle images collected with the courtesy of hair stylists. The training data sets are divided into 3 subsets- long, medium and short, according to the length of the hairstyles. Through a preliminary user study, we found that in many cases a users want to specify the length of the hair before searching the best hairstyles, and hence it would be helpful if we can advise them the best candidates in different lengths. Currently both the hairstyle examples and the input face need to be frontal photos and the face area in the input image shouldn t be covered by hairs. In addition to the 6 dimensions representing the shape of a face, 3 additional dimensions, representing the length, hardness and volume of hair, respectively, are also added and a 9-dimensional feature vector is computed for each example. Each hair can take one of 3 values in the 3 newly added dimension: Length Volume Hardness : long, medum, short : large, medum, small : hard, medium, soft The necessity to consider the property(hardness, volume) of hair arised from the fact that the hairstyle one can actually have is constrained by the property of his/her hair, even one can find the best hairstyle making him/her look the attractive virtually. Therefore, with the additional dimensions characterizing the property of the hair, we can constrain the sampling only from the hairstyles of similar hair properties. The hair property of the input face is specified by the user. Figure 7 shows two examples of results. For the input face image at the left, the nearest face in the feature vector space for each of the long, medium and short hairstyle training set are shown in the upper row and below it is the resuling hairstyles. 5.2 Evaluation We have conducted two experiments to validate the effectiveness of our approach. The first experiment aims to investigate how the hairstyles advised by our system for a person would look to be for other people, while the second one tests how satisfactory the result is for the person himself/herself. 10 female college students participated the first experiment. We prepared 9 sets of hairstyle images, each consisting of 10 hairstyles with 2 of them were advised by the system as the suitable hairstyle. At each trial, a subject was presented with one set of images and asked to mark top 3 most suitable hairstyles out of the 10 hairstyles. Figure 6 shows an example of the hairstyle image set used in experiment. The total number of trials is 90(9 sets 10 persons) and we evaluated the probability of the occurence of the following 3 cases respectively. Case 1 Case 2 Case 3 : A system advised hairstyle were marked as the top suitable hairstyles : At least one system advised hairstyles were included in the top 2 suitable hairstyles. : At least one system advised hairstyles were included in the top 3 suitable hairstyles. Table 1: Result of Experiment 1 : Viewed by Others (binomial test) Number of occurrence Probability upon null (out of 90 trials) hypothesis Case Case Case We used binomial test and our null hypothesis is that all the 10 hairstyles in an image set would be marked with the same probability. Table 1 shows the experiment results. Out of the 90 trials, there are 20 trials for case 1, 58 trials for case 2 and 80 trials for case 3, respectively. The probability for a number of occurrence above those observed ones upon the null hypothesis is shown at the rightmost column of Table 1. The null hypothesis was rejected at a significant level lower than 0.0% for the latter two cases. In other words, the experiment results suggest that the hairstyles advised by our system at least can be viewed as the second best hairstyle though might not be the best.
5 Table 2: Result of Experiment 2 : Viewed by Oneself (binomial test) group Number of occurrence (out of 90 trials) Probability upon null hypothesis Case Case Case The second experiment had the same setting as that of the first one except for that each subject was presented with the hairstyle images of herself. The subjects are 4 female college students and 3 image sets were prepared for each of them. Therefore the total number of trials is 12(3 sets 4 persons). The number of trials for the 3 cases and the corresponding probability upon null hypothesis are shown in Table2. Same as the result of the first experiment, we can see the null hypothesis was reject with a very low level of significance for the latter two cases. From the experiment results, we can conclude that though may not be the best one, our system can advise the users the good candidates of hairstyles viewed to be suitable both by oneself and others. Fiugre 6: Example of the image set used for experiment 6. Concluding remarks We have presented a new example-based framework for creating suitable hairstyles for a given face image. Suitability is a perceptual attribute and our evaluation experiment demonstrated the effectiveness of addressing such kind of problem with an example-based approach. One big advantage of the example-based approach is that we can apply the system for a wide range of applications simply by constructing an appropriate training dataset. For example, if we use a set of hairstyles which have given a good impression to interviewer as the training examples, then our system will be very useful for a job-hunter. As one of the future research work, we want to apply the same framework to other fashion simulation problem, such as advising a suitable dressing by learning the relationships between the body shape and successful dressings. In current application a compact feature vector was designed to facilitate the fast learning of the relationship between the face shape and the successful hairstyles. There might be some other factors may affect the design of hairstyles. We are now working on finding a better feature vector by using some more sofisticated machine learning technique. References 1 Vritual Hairstudio: 2 Beauty Wizard: 3 XU, Z., AND YANG, X. D V- hairstudio: An interactive tool for hair design. IEEE Computer Graphics and Applications 21, 3, YU, Y Modeling realistic virtual hairstyles. In PG 01: Proc. of the 9th Pacific Conference on Comp. Graphics and Applications, IEEE Computer Society,Washington, DC, USA, Paris, S., Chang, W., Jarosz, W., Kozhushnyan, O., Matusik, W., Zwicker, W., and Durand. F Hair Photobooth: Geometric and Photometric Acquisition of Real Hairstyles. In ACM Transactions on Graphics (Proc. SIGGRAPH), 27(3). 6 WANG, L., YU, Y., ZHOU, K., AND GUO, B Example based hair geometry synthesis. ACM Transactions on Graphics (Proc. of SIGGRAPH 2009) 28, 3, Article A. Efros and T. K. Leung. Texture synthesis by nonparametric sampling. In the Seventh International Conference on Computer Version, pages 20 27, A. Hertzmann, C. E. Hacobs, N. Oliver, B. Curless, and D. H. Salesin. Image analogies. In SIGGRAPH 2001, H. Chen, L. Liang, Y. Q. Xu, H. Y. Shum, and N. N. Zheng. Example-based automatic portraiture. In ACCV02, C.Chang, Y.Peng, Y.Chen, and S.Wang, "Artistic Painting Style Transformation Using Example-based Sampling Method,", Journal of information science and engineering, vol. 26, no.4, pp , J. Wang, M.F. Cohen, Optimized Color Sampling for Robust Matting, Proc. CVPR 07, pp. 1-8, T.F. Cootes and C.J. Taylor and D.H. Cooper and J. Graham "Active shape models - their training and application". Computer Vision and Image Understanding (61): 38 59, Best Hairsyle by Face Shape, Editted by SHUFUNOTOMO Co.,Ltd, 2007(In Japanese).
6 Figure 7: Example of results
Braid Hairstyle Recognition based on CNNs
Chao Sun and Won-Sook Lee EECS, University of Ottawa, Ottawa, ON, Canada {csun014, wslee}@uottawa.ca Keywords: Abstract: Braid Hairstyle Recognition, Convolutional Neural Networks. In this paper, we present
More informationSURF and MU-SURF descriptor comparison with application in soft-biometric tattoo matching applications
SURF and MU-SURF descriptor comparison with application in soft-biometric tattoo matching applications Mikel Iturbe, Olga Kähm, Roberto Uribeetxeberria Faculty of Engineering Mondragon University Email:
More informationExtension of Fashion Policy at Purchase of Garment on e-shopping Site
Advances in Computing 2015, 5(1): 9-17 DOI: 10.5923/j.ac.20150501.02 Extension of Fashion Policy at Purchase of Garment on e-shopping Site Takuya Yoshida 1,*, Phoung Dinh Dong 2, Fumiko Harada 3, Hiromitsu
More informationOPTIMIZATION OF MILITARY GARMENT FIT
OPTIMIZATION OF MILITARY GARMENT FIT H.A.M. DAANEN 1,2,3, A. WOERING 1, F.B. TER HAAR 1, A.A.M. KUIJPERS 2, J.F. HAKER 2 and H.G.B. REULINK 4 1 TNO, Soesterberg, The Netherlands 2 AMFI Amsterdam Fashion
More information2013/2/12 HEADACHED QUESTIONS FOR FEMALE. Hi, Magic Closet, Tell me what to wear MAGIC CLOSET: CLOTHING SUGGESTION
HEADACHED QUESTIONS FOR FEMALE Hi, Magic Closet, Tell me what to wear Si LIU 1, Jiashi FENG 1, Zheng SONG 1, Tianzhu ZHANG 3, Changsheng XU 2, Hanqing LU 2, Shuicheng YAN 1 1 National University of Singapore
More informationSampling Process in garment industry
Sampling Process in garment industry Sampling is one of the main processes in garment manufacturing and it plays vital role in attracting buyers and confirming the order, as the buyers generally places
More informationAttributes for Improved Attributes
Attributes for Improved Attributes Emily Hand University of Maryland College Park, MD emhand@cs.umd.edu Abstract We introduce a method for improving facial attribute predictions using other attributes.
More informationTattoo Detection Based on CNN and Remarks on the NIST Database
Tattoo Detection Based on CNN and Remarks on the NIST Database 1, 2 Qingyong Xu, 1 Soham Ghosh, 1 Xingpeng Xu, 1 Yi Huang, and 1 Adams Wai Kin Kong (adamskong@ntu.edu.sg) 1 School of Computer Science and
More informationVisual Search for Fashion. Divyansh Agarwal Prateek Goel
Visual Search for Fashion Divyansh Agarwal Prateek Goel Contents Problem Statement Motivation for Deep Learning Previous Work System Architecture Preliminary Results Improvements Future Work What are they
More informationFrequential and color analysis for hair mask segmentation
Frequential and color analysis for hair mask segmentation Cedric Rousset, Pierre-Yves Coulon To cite this version: Cedric Rousset, Pierre-Yves Coulon. Frequential and color analysis for hair mask segmentation.
More informationComparison of Boundary Manikin Generation Methods
Comparison of Boundary Manikin Generation Methods M. P. REED and B-K. D. PARK * University of Michigan Transportation Research Institute Abstract Ergonomic assessments using human figure models are frequently
More informationLecture 6: Modern Object Detection. Gang Yu Face++ Researcher
Lecture 6: Modern Object Detection Gang Yu Face++ Researcher yugang@megvii.com Visual Recognition A fundamental task in computer vision Classification Object Detection Semantic Segmentation Instance Segmentation
More informationRule-Based Facial Makeup Recommendation System
Rule-Based Facial Makeup Recommendation System Taleb Alashkar 1, Songyao Jiang 1 and Yun Fu 1,2 1 Department of Electrical & Computer Engineering 2 College of Computer & Information Science, Northeastern
More informationThe Development of an Augmented Virtuality for Interactive Face Makeup System
The Development of an Augmented Virtuality for Interactive Face Makeup System Bantita Treepong (B), Panut Wibulpolprasert, Hironori Mitake, and Shoichi Hasegawa Department of Information and Communication
More informationImproving Men s Underwear Design by 3D Body Scanning Technology
Abstract Improving Men s Underwear Design by 3D Body Scanning Technology V. E. KUZMICHEV* 1,2,3, Zhe CHENG* 2 1 Textile Institute, Ivanovo State Polytechnic University, Ivanovo, Russian Federation; 2 Institute
More informationClothes Recommend Themselves: A New Approach to a Fashion Coordinate Support System
, October 19-21, 2011, San Francisco, USA Clothes Recommend Themselves: A New Approach to a Fashion Coordinate Support System Mio Fukuda*, Yoshio Nakatani** Abstract Fashion coordination is one of the
More informationCUSTOMIZED GARMENT DESIGN SUPPORTING SYSTEM FOR AGED PEOPLE USING DIGITAL DRESS FORM MODEL
PROCEEDINGS 13th INTERNATIONAL CONFERENCE ON GEOMETRY AND GRAPHICS August 4-8, 2008, Dresden (Germany) ISBN: 978-3-86780-042-6 CUSTOMIZED GARMENT DESIGN SUPPORTING SYSTEM FOR AGED PEOPLE USING DIGITAL
More informationA Comparison of Two Methods of Determining Thermal Properties of Footwear
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 1999, VOL. 5, NO. 4, 477-484 A Comparison of Two Methods of Determining Thermal Properties of Footwear Kalev Kuklane Department of Occupational
More informationAn Introduction to Modern Object Detection. Gang Yu
An Introduction to Modern Object Detection Gang Yu yugang@megvii.com Visual Recognition A fundamental task in computer vision Classification Object Detection Semantic Segmentation Instance Segmentation
More informationUsing Graphics in the Math Classroom GRADE DRAFT 1
Using Graphics in the Math Classroom GRADE 7 thebillatwood@gmail 2013 DRAFT 1 Problem Solving Problem solving often invokes an image of a chess player thinking for hours trying to find the right move,
More informationPublished in: Proceedings of the 11th International Conference on Environmental Ergonomics
Using 3D whole body scanning to determine clothing area factor Gao, Chuansi; Kuklane, Kalev; Holmér, Ingvar Published in: Proceedings of the 11th International Conference on Environmental Ergonomics 2005
More informationBeauty industry. Face Shapes.
Beauty industry Face Shapes Knowing your face shape is the first step to creating a beautiful look Not sure of your face shape? Pull your hair back/close one eye/look in a mirror/trace your face on the
More informationUsing BodyPaint 3D with LightWave
Addendum 23 Plugins ADDENDUM 1 Exchange Plugins Using BodyPaint 3D with LightWave If you are a LightWave user, the quickest way to get your models from LightWave to BodyPaint 3D then back again once you
More informationManikin Design: A Case Study of Formula SAE Design Competition
Manikin Design: A Case Study of Formula SAE Design Competition 1 Devon K. Boyd, 1 Cameron D. Killen, 2 Matthew B. Parkinson 1 Department of Mechanical and Nuclear Engineering; 2 Engineering Design, Mechanical
More informationDesign Decisions. Copyright 2013 SAP
Design Decisions Copyright 2013 SAP ELEMENTS OF DESIGN FORM should be in proportion to the shape of the head and face, and the length and width of neck and shoulder SPACE is the area the style occupies;
More informationH Fashion Storyboard
OVERVIEW 4-H Fashion Storyboard General Rules and Guidelines The 4-H Fashion Storyboard is an industry-inspired method of displaying original designs. The best storyboards create vivid visual images that
More informationChina Textile and Apparel Production and Sales Statistics, Jul. 2014
China Textile and Apparel Production and Sales Statistics, 2013-2014 Jul. 2014 STUDY GOAL AND OBJECTIVES This report provides the industry executives with strategically significant competitor information,
More informationH Fashion Storyboard General Rules and Guidelines
OVERVIEW 2016 4-H Fashion Storyboard General Rules and Guidelines The 4-H Fashion Storyboard is an industry-inspired method of displaying original designs. The best storyboards create vivid visual images
More informationOBIS Scientific Remote
OBIS Scientific Remote OBIS Scientific Remote P. P. 2 2 OBIS Scientific Remote The OBIS laser with shutter, OBIS Remote key switch, interlock and 5- second delay allows the OBIS laser system to conform
More informationContent. Manual Version Piercing Props Props Placing the Props Remarks...
Manual Version 1.0 Content 1. Piercing Props........................................................ 1.1. Props.......................................................... 1.. Placing the Props..................................................
More informationIdentifying Useful Features for Recognition in Near-Infrared Periocular Images
Identifying Useful Features for Recognition in Near-Infrared Periocular Images Karen Hollingsworth, Kevin W. Bowyer, and Patrick J. Flynn Abstract The periocular region is the part of the face immediately
More informationC. J. Schwarz Department of Statistics and Actuarial Science, Simon Fraser University December 27, 2013.
Errors in the Statistical Analysis of Gueguen, N. (2013). Effects of a tattoo on men s behaviour and attitudes towards women: An experimental field study. Archives of Sexual Behavior, 42, 1517-1524. C.
More informationFebruary 1, FROM: Miles Dabovich Kelli Lehman District Extension Administrator Extension Program Specialist 4-H
February 1, 2015 TO: District 3 County Extension Agents FROM: Miles Dabovich Kelli Lehman District Extension Administrator Extension Program Specialist 4-H SUBJECT: 2015 ROLLING PLAINS 3 DISTRICT 4-H FASHION
More informationThink Before you Ink: Modeling Laser Tattoo Removal
Think Before you Ink: Modeling Laser Tattoo Removal BEE 453 May 1, 2008 Katherine Cumnock, Leigh Gerson, Jacqueline Stroncek, and Sarah Yagerman Table of Contents 1.0 Executive Summary. 3 2.0 Introduction..
More informationYuh: Ethnicity Classification
Ethnicity Classification Derick Beng Yuh December 2, 2010 INSTITUTE FOR ANTHROPOMATICS, FACIAL IMAGE PROCESSING AND ANALYSIS 1 Derick Yuh: Ethnicity Classification KIT 10.05.2010 University of the StateBeng
More informationColor Swatch Add-on User Guide
Color Swatch Add-on User Guide A guide to using Color Swatch add-on interface Last Updated: February 7, 2018 Version 1.0 2017-2018 Cybage. All rights reserved. The information contained in this document
More informationPre-print of article that will appear at BTAS 2012.!!!
2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising
More informationUSING SIZEUSA TO IMPROVE APPAREL FIT Beth Newcomb & Cynthia Istook, Ph.D ABSTRACT
USING SIZEUSA TO IMPROVE APPAREL FIT Beth Newcomb & Cynthia Istook, Ph.D ABSTRACT Consumer dissatisfaction with apparel fit is a major issue for the apparel industry, and causes big problems for fashion
More informationCase Study : An efficient product re-formulation using The Unscrambler
Case Study : An efficient product re-formulation using The Unscrambler Purpose of the study: Re-formulate the existing product (Shampoo) and optimize its properties after a major ingredient has been substituted.
More informationGrowth and Changing Directions of Indian Textile Exports in the aftermath of the WTO
Growth and Changing Directions of Indian Textile Exports in the aftermath of the WTO Abstract A.M.Sheela Associate Professor D.Raja Jebasingh Asst. Professor PG & Research Department of Commerce, St.Josephs'
More informationLarge-Scale Tattoo Image Retrieval
Large-Scale Tattoo Image Retrieval Daniel Manger Video Exploitation Systems Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB Karlsruhe, Germany daniel.manger@iosb.fraunhofer.de
More informationDEMONSTRATING THE APPLICABILITY OF DESI IMAGING COUPLED WITH ION MOBILITY FOR MAPPING COSMETIC INGREDIENTS ON TAPE STRIPPED SKIN SAMPLES
DEMONSTRATING THE APPLICABILITY OF DESI IMAGING COUPLED WITH ION MOBILITY FOR MAPPING COSMETIC INGREDIENTS ON TAPE STRIPPED SKIN SAMPLES Eleanor Riches 1, Philippa J. Hart 1, Emmanuelle Claude 1, Malcolm
More information28 Footwear Fit Categorization
Footwear Fit Categorization 28 Footwear Fit Categorization Ameersing Luximon 1, Ravindra S. Goonetilleke 2 and Kwok-L Tsui 3 1 Department of Engineering, American University of Armenia, Yerevan, Armenia
More informationAn Exploratory Study of Virtual Fit Testing using 3D Virtual Fit Models and Garment Simulation Technology in Technical Design
An Exploratory Study of Virtual Fit Testing using 3D Virtual Fit Models and Garment Simulation Technology in Technical Design MyungHee SOHN*, Lushan SUN University of Missouri, Columbia MO, USA http://dx.doi.org/10.15221/13.067
More informationImprovement in Wear Characteristics of Electric Hair Clipper Blade Using High Hardness Material
Materials Transactions, Vol. 48, No. 5 (2007) pp. 1131 to 1136 #2007 The Japan Institute of Metals EXPRESS REGULAR ARTICLE Improvement in Wear Characteristics of Electric Hair Clipper Blade Using High
More informationIntegrating Magnetic Field Mapping Crack Detection and Coordinate Measurement
Integrating Magnetic Field Mapping Crack Detection and Coordinate Measurement Author: S. Spasic, Senis AG Presented by: Ben Hartzell, GMW Associates Magnetics 2016 January 21 & 22, 2016 Jacksonville FL,
More informationHow to check the printing process
How to check the printing process Launch the checking process 1 Simulate the verification 5 Results interpretation 6 Standard constraints 7 Swatches 9 Standard interpretation 10 ISO 12647-2 Offset Simulation
More informationPage 6. [MD] Microdynamics PAS Committee, Measurement Specification Document, Women s Edition and Mens Edition, Microdynamics Inc., Dallas, TX, 1992.
Page 6 [MD] Microdynamics PAS Committee, Measurement Specification Document, Women s Edition and Mens Edition, Microdynamics Inc., Dallas, TX, 1992. [MONC] Moncarz, H. T., and Lee, Y. T., Report on Scoping
More informationA Comparative Introduction on Sweating Thermal Manikin Newton and Walter
A Comparative Introduction on Sweating Thermal Manikin Newton and Walter Wang, Faming Published: 2008-01-01 Link to publication Citation for published version (APA): Wang, F. (2008). A Comparative Introduction
More informationHealthy Buildings 2017 Europe July 2-5, 2017, Lublin, Poland
Healthy Buildings 2017 Europe July 2-5, 2017, Lublin, Poland Paper ID 0113 ISBN: 978-83-7947-232-1 Measurements of local clothing resistances and local area factors under various conditions Stephanie Veselá
More informationFashion Make-up: Runway and Editorial Make-up and Hair Skills (SCQF level 7)
Higher National Unit Specification General information Fashion Make-up: Runway and Editorial Make-up and Hair Skills Unit code: J0H3 34 Superclass: HL Publication date: June 2018 Source: Scottish Qualifications
More informationAnalysis for Iris and Periocular Recognition in Unconstraint Biometrics
Analysis for Iris and Periocular Recognition in Unconstraint Biometrics Mr. Shiv Kumar, Dr. Arvind Kumar Sharma 2 Research Scholar, Associate Professor 2,2 Dept. of Computer Science, OPJS University, Rajasthan
More informationColor Quantization to Visualize Perceptually Dominant Colors of an Image
한국색채학회논문집 Journal of Korea Society of Color Studies 2015, Vol.29, No.2 http://dx.doi.org/10.17289/jkscs.29.2.201505.95 Color Quantization to Visualize Perceptually Dominant Colors of an Image JiYoung Seok,
More informationMeasurement Method for the Solar Absorptance of a Standing Clothed Human Body
Original Article Journal of the Human-Environment System Vol.19; No 2; 49-55, 2017 Measurement Method for the Solar Absorptance of a Standing Clothed Human Body Shinichi Watanabe 1) and Jin Ishii 2) 1)
More informationA Study on the Usage of Hair Styling Products Across Genders
Reflections Journal of Management (RJOM) Volume 6, January 2017 Available online at: http://reflections.rustomjee.com/index.php/reflections/issue/view/reflections%20- %20Journal%20of%20Management/showToc
More informationFashion Outfit Planning on E-Shopping Sites Considering Accordance to and Deviation from Policy
Fashion Outfit Planning on E-Shopping Sites Considering Accordance to and Deviation from Policy Takuya Yoshida Ritsumeikan University,Japan email: takuya@de.is.ristumei.ac.jp Fumiko Harada Assistant professor
More informationThe Study on the Development and Processing Transfer of Lip Balm Products from Virgin Coconut Oil: A Case Study
The Study on the Development and Processing Transfer of Lip Balm Products from Virgin Coconut Oil: A Case Study Suwimon Kwunsiriwong, Rajabhat Rajanagarindra University, Thailand The Asian Conference on
More informationFinger Nail Analysis to Diagnosis the Disease A Study
Finger Nail Analysis to Diagnosis the Disease A Study Dr A Ranichitra Department of Computer Science Sri S.Ramasamy Naidu Memorial College, Sattur, India ranichitra117@gmail.com Abstract--Medical image
More informationA Study on the Public Aesthetic Perception of Silk Fabrics of Garment -Based on Research Data from Hangzhou, China
Asian Social Science; Vol. 14, No. 2; 2018 ISSN 1911-2017 E-ISSN 1911-2025 Published by Canadian Center of Science and Education A Study on the Public Aesthetic Perception of Silk Fabrics of Garment -Based
More informationTHE SEGMENTATION OF THE ROMANIAN CLOTHING MARKET
Bota Marius THE SEGMENTATION OF THE ROMANIAN CLOTHING MARKET Faculty of Business, Babe -Bolyai University, Horea Street No. 7, 400174 Cluj-Napoca, Romania, Phone: +40-264-599170, E-mail: botimar@tbs.ubbcluj.ro
More informationImprovement of Grease Leakage Prevention for Ball Bearings Due to Geometrical Change of Ribbon Cages
NTN TECHNICAL REVIEW No.78 2010 Technical Paper Improvement of Grease Leakage Prevention for Ball Bearings Due to Geometrical Change of Ribbon Cages Norihide SATO Tomoya SAKAGUCHI Grease leakage from sealed
More informationThis unit is an optional unit included in the framework of the SQA Advanced Certificate /Diploma in Retail Management.
General information for centres Unit title: Fashion Merchandising (SCQF level 7) Unit code: HT5T 47 Superclass: BA Publication date: August 2017 Source: Scottish Qualifications Authority Version: 01 Unit
More informationInteraction effects of radiation and convection measured by a thermal manikin wearing protective clothing with different radiant properties
Loughborough University Institutional Repository Interaction effects of radiation and convection measured by a thermal manikin wearing protective clothing with different radiant properties This item was
More informationChina Home Textile Industry Report, Apr. 2013
China Home Textile Industry Report, 2012-2015 Apr. 2013 STUDY GOAL AND OBJECTIVES This report provides the industry executives with strategically significant competitor information, analysis, insight and
More informationProject Management Network Diagrams Prof. Mauro Mancini
Project Management Network Diagrams Prof. Mauro Mancini e-mail: Mauro.Mancini@polimi.it tel.: +39-02-23994057 POLITECNICO DI MILANO Department of Management, Economics and Industrial Engineering Mauro
More informationThe Use of 3D Anthropometric Data for Morphotype Analysis to Improve Fit and Grading Techniques The Results
The Use of 3D Anthropometric Data for Morphotype Analysis to Improve Fit and Grading Techniques The Results Abstract Joris COOLS 1*, Alexandra DE RAEVE 1, Peter VAN RANSBEECK 2, Simona VASILE 1, Benjamin
More informationThe Design of the Process Template for the Folding of Garment
The Design of the Process Template for the Folding of Garment Bin Luo, Bao-Zhu Ke Fashion Institute Shanghai University of Engineering Science Shanghai, 201620, China Abstract Collar as a major component
More informationA Novel Approach for Fit Analysis of Protective Clothing Using Three-Dimensional Body Scanning
A Novel Approach for Fit Analysis of Protective Clothing Using Three-Dimensional Body Scanning Yehu LU a,b, Guowen SONG c *, Jun LI a,b a Protective Clothing Research Center, Fashion Institute, Donghua
More informationSquare Layer. Square Layer: Step-by-Step Guide
Square Layer Square Layer: Step-by-Step Guide A one-length technique is used to create the baseline. This can be blunt cut or serrated depending on the texture. The hair is combed down to the natural fall
More information3D Body Scanning Technology for Virtual Design of System "Body-Clothes"
3D Body Scanning Technology for Virtual Design of System "Body-Clothes" Victor E. KUZMICHEV* 1a, Natalia A. SAHAROVA a, Gregory I. CHISTOBORODOV a a Ivanovo State Textile Academy, Russia Abstract New systematic
More informationRegulatory Genomics Lab
Regulatory Genomics Lab Saurabh Sinha PowerPoint by Pei-Chen Peng Regulatory Genomics Saurabh Sinha 2017 1 Exercise In this exercise, we will do the following:. 1. Use Galaxy to manipulate a ChIP track
More informationTips for proposers. Cécile Huet, PhD Deputy Head of Unit A1 Robotics & AI European Commission. Robotics Brokerage event 5 Dec Cécile Huet 1
Tips for proposers Cécile Huet, PhD Deputy Head of Unit A1 Robotics & AI European Commission Robotics Brokerage event 5 Dec. 2016 Cécile Huet 1 What are you looking for? MAXIMISE IMPACT OF PROGRAMME on
More informationCHAPTERS RESEARCH DESIGN
CHAPTERS RESEARCH DESIGN 5.1 INTRODUCTION The objective of the proposed research project was to determine underlying consumer perceptions of product attributes featured in advertising. To reach this objective,
More informationComparison of Women s Sizes from SizeUSA and ASTM D Sizing Standard with Focus on the Potential for Mass Customization
Comparison of Women s Sizes from SizeUSA and ASTM D5585-11 Sizing Standard with Focus on the Potential for Mass Customization Siming Guo Ph.D. Program in Textile Technology Management College of Textiles
More informationAdobe InDesign. Figure 1 Apply fill and stroke color to text by using the Swatches panel
How to manage colors Adobe InDesign provides a variety of ways for you to manage colors (Figure 1): from selecting and applying color, to using swatches and swatch libraries, and applying tints and transparencies.
More informationPatternMaker Software Men s/women s Outerwear Collection Designer: Leena Lähteenmäki
Men s/women s Outerwear Collection Designer: Leena Lähteenmäki INTRODUCTION Welcome to the PatternMaker Outerwear Collection! This macro collection contains two individual macros: jacket and trousers,
More informationSteam Heat Retrofit for Coover Hall
Steam Heat Retrofit for Coover Hall sddec1802 Jevay Aggarwal Technical Lead Sarah Coffey Reporting Lead Thomas Devens Project Plan Lead Joseph Filbert Client Contact Lead Kenneth Wendt Webmaster Liz Wickham
More informationRemote Skincare Advice System Using Life Logs
Remote Skincare Advice System Using Life Logs Maki Nakagawa Graduate School of Humanities and Sciences, Ochanomizu University 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Japan nakagawa.maki@is.ocha.ac.jp Koji Tsukada
More informationDetermination of the Air Gap Thickness underneath the Garment for Lower Body Using 3D Body Scanning
Determination of the Air Gap Thickness underneath the Garment for Lower Body Using 3D Body Scanning Emel MERT 1,2, Sonja BÖHNISCH 1,3, Agnes PSIKUTA* 1, Marie-Ange BUENO 2, Rene M. ROSSI 1 1 Empa, Swiss
More information96 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 1, MARCH 2011
96 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 1, MARCH 2011 Periocular Biometrics in the Visible Spectrum Unsang Park, Member, IEEE, Raghavender Reddy Jillela, Student Member,
More informationCAD System for Japanese Kimono
Engineering ndustrial & Management Engineering fields Okayama University Year 1999 CAD System for Japanese Kimono Tetsuya Sano Okayama University Hideki Yamamoto Okayama University This paper is posted
More informationthe six secrets to the perfect hairstyle veronica lee & jessica lee nvenn hair and beauty
the six secrets to the perfect hairstyle veronica lee & jessica lee nvenn hair and beauty Good hair days make me feel like i can take over the world CONTENT 01 02 03 04 05 06 07 Introduction How do they
More informationH Fashion Storyboard General Rules and Guidelines
OVERVIEW 2015 4-H Fashion Storyboard General Rules and Guidelines The 4-H Fashion Storyboard is an industry-inspired method of displaying original designs. The best storyboards create vivid visual images
More informationHigher National Unit Specification. General information for centres. Fashion: Commercial Design. Unit code: F18W 34
Higher National Unit Specification General information for centres Unit title: Fashion: Commercial Design Unit code: F18W 34 Unit purpose: This Unit enables candidates to demonstrate a logical and creative
More informationDesign of Japanese Kimono (Yukata) using an Interactive Genetic Algorithm
THE SCIENCE AND ENGINEERING REVIEW OF DOSHISHA UNIVERSITY, VOL. 50, NO. April 2009 Design of Japanese Kimono (Yukata) using an Interactive Genetic Algorithm Maiko SUGAHARA * Mitsunori MIKI ** and Tomoyuki
More informationMass Customization Methodology for Footwear Design
Mass Customization Methodology for Footwear Design Yifan Zhang 1, Ameersing Luximon 1, Xiao Ma 1, Xiaoling Guo 2, and Ming Zhang 3 1 Institute of Textiles and Clothing, The Hong Kong Polytechnic University,
More informationRepresentative results (with slides extracted from presentations given at conferences and talks)
Marie Curie IEF 254261 (FP7-PEOPLE-2009-IEF) BIO-DISTANCE Representative results (with slides extracted from presentations given at conferences and talks) Fernando Alonso-Fernandez (fellow) feralo@hh.se
More informationA Study of Aditya Birla Online Fashion
A Study of Aditya Birla Online Fashion Final Report- Term IV CCS Submitted to: Prof Srinivas Prakhya Debrupa Nag (1511090) Rupsa Dasgupta (1511120) 1 Contents Introduction... 3 Industry... 3 Fashion E-commerce...
More informationIMPACT OF PACKING ON CONSUMER BRAND PREFERENCE TOWARDS COSMETICS PRODUCTS IN SIVAKASI
IMPACT OF PACKING ON CONSUMER BRAND PREFERENCE TOWARDS COSMETICS PRODUCTS IN SIVAKASI M.Rifaya Meera 1 R.Sorna Priya 2.,., R.Padmaja 3., P.Vishwanath 4,. P.Kaleeswaran 5, 1&2 Assistant Professor, Department
More informationarxiv: v1 [cs.cv] 26 Aug 2016
Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study Qin Zou, Zheng Zhang, Qian Wang, Qingquan Li, Long Chen, and Song Wang arxiv:.v [cs.cv] Aug School of Computer Science, Wuhan
More informationThe Portrayal Of Female Fashion Magazine (Rayli) And Chinese Young Women s Attitudinal And Behavioral Change
The Portrayal Of Female Fashion Magazine (Rayli) And Chinese Young Women s Attitudinal And Behavioral Change Performance of Composer Name Surname Wanxing Chen Advisor Asst. Prof. Dr. Suwannee Luckanavanich
More informationLife Science Journal 2015;12(3s) A survey on knowledge about care label on garments by Residents in Egypt
A survey on knowledge about care label on garments by Residents in Egypt Heba Assem El-Dessouki Associate Professor, Home Economics Dept, Faculty of Specific Education, Ain Shams University, Egypt. Dr.heldessouki@yahoo.com
More informationBEHAVIOUR OF A GUSSET PLATE CONNECTION UNDER COMPRESSION
BEHAVIOUR OF A GUSSET PLATE CONNECTION UNDER COMPRESSION Clément Bardot 1, Kamila Cábová 2, Marta Kurejková 2, František Wald 2 1. Blaise Pascal University, Clermont-Ferrand II, France 2. Czech Technical
More informationPalo Pinto County 4-H Fashion Storyboard Guidelines
Palo Pinto County 4-H Fashion Storyboard Guidelines Entry Deadline: March 19, 2017 Completed storyboards will be due by this date. The Palo Pinto County 4-H Fashion Storyboard Contest will follow the guidelines
More informationBringing STYLE to the High Street
Bringing STYLE to the High Street The latest development in a long line of market leading air curtains, Invisidor STYLE has been developed to bring not just performance benefits and energy savings but
More informationFF: Fashion Design-Art (See also AF, AP, AR, DP, FD, TL)
FF: Fashion Design-Art (See also AF, AP, AR, DP, FD, TL) FF 111 Visual Design Concepts I This course teaches students to understand, analyze, and draw the female fashion figure, front, turned, and back
More informationContents. A reflection of twoness, and a sense of making room for someone else
DUO Contents A reflection of twoness, and a sense of making room for someone else 2 Abstract 3 Background and Idea 4 The Designer 6 The Beginning 8 Finding a Way 10 Creating My Own Material 10 The Method
More information!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Anthony Prats Shreya Mantri Jack Zhuang Pratham Shah Yiwen Zhong!!
Anthony Prats Shreya Mantri Jack Zhuang Pratham Shah Yiwen Zhong Executive Summary Crafted Color stands to revolutionize the relationship between women and their cosmetic products. Cosmetics have existed
More information@ 8 5 ـ92 (139 ) 3 8 ﮓ / ﻧر يروﺎﻨﻓ و مﻮﻠﻋ ﻲﺸﻫوﮋﭘ ـﻲ ﻤﻠﻋ ﻪﻳﺮﺸﻧ
available online @ www.jcst.icrc.ac.ir 85 9 (9) 8 / - * 6765-654 : 8456-8 : 8456-8 : 9 / / 0 : 9 / / 8 : 9 / 8 / :.. -..... : An Investigation into the Meaning of Colour Harmony Using Psychophysical Techniques
More information