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» A comparative study of two object recognition methods
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EMMCVPR
2007
Springer
15 years 10 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
ICCV
2007
IEEE
16 years 5 months ago
Optimization Algorithms for Labeling Brain Sulci Based on Graph Matching
Graph matching techniques are widely used in pattern recognition problems such as scene description, finger print identification, or face recognition. In this paper, we put forwar...
Faguo Yang, Frithjof Kruggel
ECCV
2006
Springer
15 years 7 months ago
Dynamic Texture Recognition Using Volume Local Binary Patterns
Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures has attracted growing attention. In this paper, a new method for ...
Guoying Zhao, Matti Pietikäinen
ICASSP
2011
IEEE
14 years 7 months ago
Rapid joint speaker and noise compensation for robust speech recognition
For speech recognition, mismatches between training and testing for speaker and noise are normally handled separately. The work presented in this paper aims at jointly applying sp...
K. K. Chin, Haitian Xu, Mark J. F. Gales, Catherin...
WACV
2008
IEEE
15 years 10 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince