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» Statistical Models of Appearance for Computer Vision
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CVPR
2007
IEEE
16 years 1 months ago
Modeling Appearances with Low-Rank SVM
Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...
Lior Wolf, Hueihan Jhuang, Tamir Hazan
CVPR
2008
IEEE
16 years 1 months ago
Light-invariant fitting of active appearance models
This paper deals with shading and AAMs. Shading is created by lighting change. It can be of two types: selfshading and external shading. The effect of self-shading can be explicit...
Daniel Pizarro, Julien Peyras, Adrien Bartoli
CVPR
2003
IEEE
16 years 1 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...
CVPR
2011
IEEE
14 years 8 months ago
High-Frequency Shape and Albedo from Shading using Natural Image Statistics
We relax the long-held and problematic assumption in shape-from-shading (SFS) that albedo must be uniform or known, and address the problem of “shape and albedo from shading” ...
Jonathan Barron, Jitendra Malik
FTCGV
2011
122views more  FTCGV 2011»
14 years 3 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert