782 search results - page 86 / 157 » Using Component Features for Face Recognition |
123
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ICPR
2002
IEEE
16 years 3 months ago
2002
IEEE
This paper proposes a new method for personal identification based on iris recognition. The method consists of three major components: image preprocessing, feature extraction and ...
127
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PAMI
2010
15 years 27 days ago
2010
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle pe...
119
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IROS
2006
IEEE
15 years 8 months ago
2006
IEEE
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
145
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
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...
126
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ICMCS
2005
IEEE
15 years 8 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...