The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Generation of point-based 3D statistical shape models for anatomical objects
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
Characterizing human shape variation using 3D anthropometric data
The Visual Computer: International Journal of Computer Graphics
3D Face Recognition Using 3D Alignment for PCA
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Automatic Locating of Anthropometric Landmarks on 3D Human Models
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Automatic body feature extraction from a marker-less scanned human body
Computer-Aided Design
Consistent parameterization and statistical analysis of human head scans
The Visual Computer: International Journal of Computer Graphics - Special Issue 3D Physiological Human
The caesar project: a 3-D surface anthropometry survey
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Effect of facial feature points selection on 3d face shape reconstruction using regularization
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Nearest neighbor weighted average customization for modeling faces
Machine Vision and Applications
Facial expression recognition based on anatomy
Computer Vision and Image Understanding
| Hi-index | 0.00 |
Perfect fit for people has always been a target for product design. Designers commonly use traditional anthropometric dimensions for 3D product design thus creating a lot of fitting problems when dealing with the complexities of human body shapes. The development of recent 3D anthropometric survey has created an opportunity for complex shape analysis on human model by collecting 3D scan data. Using 3D point cloud data from the SizeChina survey, a methodology of creating a homologous 3D head and face model was demonstrated in this study. Anatomical and virtual landmarks, and surface modeling algorithm based on point cloud data were applied in building the model. The head and face models for all scans had the same amount of vertices with consistent features. The average Chinese models showed obvious differences between male and female. The variations of head and face shapes were analyzed using Principal Component Analysis and the results showed that the largest variations among people were general size, especially for width and depth. However face height, forehead, back of the head, chin and jaw area were also important when describing the 3D shape. The results from this study may be useful in the design of head and facial products.