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» An Axis-Based Representation for Recognition
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CVPR
2007
IEEE
16 years 3 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ICCV
2007
IEEE
16 years 3 months ago
Chaotic Invariants for Human Action Recognition
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories o...
Saad Ali, Arslan Basharat, Mubarak Shah
ECCV
2006
Springer
16 years 3 months ago
Spatio-temporal Embedding for Statistical Face Recognition from Video
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
Wei Liu, Zhifeng Li, Xiaoou Tang
ICIP
1999
IEEE
16 years 3 months ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres
ICPR
2004
IEEE
16 years 2 months ago
Three-Dimensional Model Based Face Recognition
The performance of face recognition systems that use twodimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. We are developi...
Anil K. Jain, Dirk Colbry, Xiaoguang Lu