The understanding of shape and size of the human head and faces is vital for design of facial wear products, such as respirators, helmets, eyeglasses and for ergonomic studies. 3D scanning is used to create 3D databases of thousands of humans from different demographics backgrounds. 3D scans have been used for design and analysis of facial wear products, but have not been very effectively utilized for sizing system. The 3D scans of human bodies contain over hundreds of thousand grid points. To be used effectively for analysis and design, these human heads require a compact shape representation. We have developed compact shape representations of head and facial shapes. We propose a sizing system based on cluster analysis along with compact shape representations to come up with different sizes for different facial wear products, such as respirators, helmets, eyeglasses, etc.
Proceedings Title: 13th International Conference onHuman-Computer Interaction
Conference Dates: July 19-24, 2009
Conference Location: San Diego, CA
Conference Title: 2nd International Conference on Digital Human Modeling
Pub Type: Conferences
Anthropometry, shape descriptor, cluster analysis, PCA, spherical harmonics