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CVPR
2007
IEEE
16 years 6 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
143
Voted
CVPR
2008
IEEE
16 years 6 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
ICCV
2003
IEEE
16 years 5 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
ECCV
2006
Springer
16 years 5 months ago
Generalized Multi-sensor Planning
Abstract. Vision systems for various tasks are increasingly being deployed. Although significant effort has gone into improving the algorithms for such tasks, there has been relati...
Anurag Mittal
115
Voted
ICPR
2004
IEEE
16 years 5 months ago
Stealth Vision for Protecting Privacy
We propose an anonymous video capturing system, called "Stealth Vision", that protects the privacy of objects by fading out their appearance. In order to avoid difficult...
Itaru Kitahara, Kiyoshi Kogure, Norihiro Hagita