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122
Voted
CVPR
2008
IEEE
16 years 3 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
117
Voted
ICCV
2007
IEEE
16 years 3 months ago
3D generic object categorization, localization and pose estimation
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Silvio Savarese, Fei-Fei Li 0002
ICCV
2005
IEEE
16 years 3 months ago
An Enhanced Correlation-Based Method for Stereo Correspondence with Sub-Pixel Accuracy
The invariance of the similarity measure in photometric distortions as well as its capability in producing subpixel accuracy are two desired and often required features in most st...
Emmanouil Z. Psarakis, Georgios D. Evangelidis
ICCV
2001
IEEE
16 years 3 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
113
Voted
ECCV
2008
Springer
16 years 3 months ago
Finding Actions Using Shape Flows
Abstract. We propose a novel method for action detection based on a new action descriptor called a shape flow that represents both the shape and movement of an object in a holistic...
Hao Jiang, David R. Martin