Presentation | 2006-03-16 An Approach to Adaptive and Trainable Vision Nobuyuki OTSU, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper (invited talk) presents an outline of our approach and research results towards adaptive and trainable vision systems which the author has been devoted to. First, such an approach is emphasized that is based on the general framework of pattern recognition consisting of two stages of feature extraction; invariant feature extraction as the first geometrical aspect, and discriminant feature extraction as the second statistical aspect. Along the line of the general approach, a scheme of general-purpose adaptive and trainable image recognition comprising Higher-order Local Auto-Correlation (HLAC) feature extraction and multivariate analysis methods so far developed and its several applications are introduced. Finally, some recent researches using extended HLAC (CHLAC) features for several practical applications of motion recognition are presented. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | vision system / pattern recognition / feature extraction / multivariate analysis |
Paper # | PRMU2005-258 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2006/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Approach to Adaptive and Trainable Vision |
Sub Title (in English) | |
Keyword(1) | vision system |
Keyword(2) | pattern recognition |
Keyword(3) | feature extraction |
Keyword(4) | multivariate analysis |
1st Author's Name | Nobuyuki OTSU |
1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology:University of Tokyo() |
Date | 2006-03-16 |
Paper # | PRMU2005-258 |
Volume (vol) | vol.105 |
Number (no) | 673 |
Page | pp.pp.- |
#Pages | 2 |
Date of Issue |