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» Back to the Future: Learning Shape Models from 3D CAD Data
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FGR
2008
IEEE
288views Biometrics» more  FGR 2008»
14 years 2 months ago
Face recognition with temporal invariance: A 3D aging model
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shap...
Unsang Park, Yiying Tong, Anil K. Jain
SI3D
1992
ACM
13 years 11 months ago
3DM: A Three Dimensional Modeler Using a Head-Mounted Display
3dm is a three dimensional (3D) surface modeling program that draws techniques of model manipulation from both CAD and drawing programs and applies them to modeling in an intuitiv...
Jeff Butterworth, Andrew Davidson, Stephen Hench, ...
ECCV
2006
Springer
13 years 11 months ago
Estimating the Pose of a 3D Sensor in a Non-rigid Environment
Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case of a...
Adrien Bartoli
CIARP
2006
Springer
13 years 11 months ago
A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures
The detection and modeling of the human spine from scanned 3D data is an important issue in biomedical shape analysis. It can be useful for avoiding invasive treatments like radiog...
Y. Santiesteban, J. M. Sanchiz, José Mart&i...
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
14 years 1 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei