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» An Axis-Based Representation for Recognition
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CVPR
2003
IEEE
16 years 3 months ago
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars...
David Minnen, Irfan A. Essa, Thad Starner
CVPR
2005
IEEE
16 years 3 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
ICCV
2005
IEEE
16 years 3 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
ICCV
2003
IEEE
16 years 3 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
ICIP
2004
IEEE
16 years 3 months ago
Object recognition based on binary partition trees
This paper presents an object recognition method that exploits the representation of the images obtained by means of a Binary Partition Tree (BPT). The shape matching technique in...
Oreste Salerno, Montse Pardàs, Verón...