15th International Conference on Pattern Recognition (ICPR'00) - Volume 1 A Generic Face Appearance Model of Shape and Texture under Very Large Pose Variations from Profile to Profile Views Barcelona, Spain September 03-September 08 ISBN: 0-7695-0750-6
Modeling the appearance of 3D objects under very large pose variations relies on recovering correspondence between local features and the texture variations across views. However, changes in object 3D pose introduce self-occlusions and cause nonlinear variations in both the shape and the texture of object appearance. In this paper, we introduce a pose-invariant appearance model that utilizes a generic-view shape template for alignment, Kernel PCA for modeling shape and texture non-linearities across views of large pose variations, and a neural network for model fitting to new images.
Citation:
Sami Romdhani, Alexandra Psarrou, Shaogang Gong, "A Generic Face Appearance Model of Shape and Texture under Very Large Pose Variations from Profile to Profile Views," icpr, vol. 1, pp.5060, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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