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CVPR
2001
IEEE
15 years 11 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2005
IEEE
15 years 11 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
CVPR
2007
IEEE
15 years 11 months ago
Flexible Object Models for Category-Level 3D Object Recognition
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Akash Kushal, Cordelia Schmid, Jean Ponce
ICCV
1995
IEEE
15 years 1 months ago
Facial Expression Recognition Using a Dynamic Model and Motion Energy
Previous efforts at facial expression recognition have been based on the Facial Action Coding System (FACS), a representation developed in order to allow human psychologists to co...
Irfan A. Essa, Alex Pentland
ICCV
1995
IEEE
15 years 1 months ago
FORMS: A Flexible Object Recognition and Modelling System
Abstract. We describe a flexible object recognition and modelling system (FORMS) which represents and recognizes animate objects from their silhouettes. This consists of a model fo...
Song Chun Zhu, Alan L. Yuille