Facial configuration and BMI based personalized face and upper body modeling for customer-oriented wearable product design

To realize truly customer-oriented wearable products, individual users' unique characteristics and features should be properly captured and represented. This research focuses on an efficient methodology to generate low polygonal virtual human face models, which overcome the limitation of existing high polygonal models. To determine individuals' characteristics in the conceptual design stage of wearable products, a computerized and personalized 3D face model should be efficiently generated and be able to interact with wearable products. This research formulates a computerized 3D face via a 3D feature-based transformation. The developed algorithm is able to concisely and efficiently create a 3D face by using frontal and lateral pictures of users. The performance of this algorithm is well adapted both to typical PCs and to mobile devices. The generated virtual face models can serve as communication media in a multi-device based collaborative design environment. Through experiments, the validity of the proposed modeling method is considerably acceptable with respect to the quality of the similarity between 3D faces and individual pictures. Finally, this paper discusses how the developed personalized face modeling can be successfully utilized for customer-oriented wearable product design by showing compatible matching of a hairstyle product as a user study.

[1]  Eddy M. Rojas,et al.  WEB-CENTRIC SYSTEMS: A NEW PARADIGM FOR COLLABORATIVE ENGINEERING , 1999 .

[2]  Keith Waters,et al.  Computer facial animation , 1996 .

[3]  Terry Winograd,et al.  THE iLOFT PROJECT: A TECHNOLOGICALLY ADVANCED COLLABORATIVE DESIGN WORKSPACE AS RESEARCH INSTRUMENT , 2003 .

[4]  Seongdong Kim,et al.  Deriving Facial Patterns for Specifying Korean Young Men's 3D Virtual Face from Muscle Based Features , 2004, AWCC.

[5]  Thomas Vetter,et al.  A morphable model for the synthesis of 3D faces , 1999, SIGGRAPH.

[6]  Pascal Fua,et al.  Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3-D Surfaces , 1996, Comput. Vis. Image Underst..

[7]  Grady Booch,et al.  Collaborative Development Environments , 2003, Adv. Comput..

[8]  D. K. Harrison,et al.  Web-based design and manufacturing support systems: Implementation perspectives , 2001, Int. J. Comput. Integr. Manuf..

[9]  Ravi Kalakota,et al.  e-Business: Roadmap for Success , 1999 .

[10]  F. Fraser,et al.  Relation of face shape to susceptibility to congenital cleft lip. A preliminary report. , 1970, Journal of medical genetics.

[11]  Alan F. Newell,et al.  Early user involvement in the development of information technology-related products for older people , 2004, Universal Access in the Information Society.

[12]  Maja Matijasevic,et al.  Personalized avatars for mobile entertainment , 2006, Mob. Inf. Syst..

[13]  S. Billett.  Sociogeneses, Activity and Ontogeny , 2003 .

[14]  E. Turban,et al.  Electronic Commerce: A Managerial Perspective , 1999 .

[15]  Timothy F. Cootes,et al.  Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Mark R. Cutkosky,et al.  Madefast: collaborative engineering over the Internet , 1996, CACM.

[17]  Mark R. Cutkosky,et al.  Next-Cut: A Second Generation Framework for Concurrent Engineering , 1991, MIT-JSME Workshop.

[18]  Demetri Terzopoulos,et al.  Realistic modeling for facial animation , 1995, SIGGRAPH.

[19]  Thaddeus Beier,et al.  Feature-based image metamorphosis , 1992, SIGGRAPH.

[20]  Paul K. Wright,et al.  CyberCut: A World Wide Web based design-to-fabrication tool , 1996 .

[21]  Paul Richard,et al.  Effect of Frame Rate and Force Feedback on Virtual Object Manipulation , 1996, Presence: Teleoperators & Virtual Environments.

[22]  Nadia Magnenat-Thalmann,et al.  Generating Animatable 3D Virtual Humans from Photographs , 2000, Comput. Graph. Forum.

[23]  A. Mehrabian.  Communication without words , 1968 .

[24]  Nadia Magnenat-Thalmann,et al.  Dirichlet free-form deformations and their application to hand simulation , 1997, Proceedings. Computer Animation '97 (Cat. No.97TB100120).

[25]  A. Yuille,et al.  Two- and Three-Dimensional Patterns of the Face , 2001 .

[26]  Kuo-Ming Chao,et al.  An agent system for collaborative version control in engineering , 2000 .

[27]  J. Russell,et al.  An approach to environmental psychology , 1974 .

[28]  Don Tapscott,et al.  The Digital Economy: Promise and Peril in the Age of Networked Intelligence , 2003 .

[29]  D B Allison,et al.  Body mass index as a measure of adiposity among children and adolescents: a validation study. , 1998, The Journal of pediatrics.

[30]  Seongah Chin,et al.  Constructing a Convenient and Efficient System for Making Virtual Human Accentuated by Customized 3D Face and Body , 2007, Edutainment.

[31]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[32]  Guojun Lu,et al.  Study and evaluation of different Fourier methods for image retrieval , 2005, Image Vis. Comput..

[33]  Kyoung-Yun Kim,et al.  Expressive 3D face for mobile devices , 2008, IEEE Transactions on Consumer Electronics.

[34]  Eric Blanco,et al.  Integration of Downstream Actors in the Design Process Using a Dedicated Expert CAD Tool for Forged Parts , 1997 .

[35]  F. Hara,et al.  Use of face robot for human-computer communication , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[36]  Kyoung-Yun Kim,et al.  Emotional Intensity-based Facial Expression Cloning for Low Polygonal Applications , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).