3131 search results - page 14 / 627 » Phase-Based Local Features |
93
Voted
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper presents how to extract non-linear features by linear PCA. KPCA is effective but the computational cost is the drawback. To realize both non-linearity and low computati...
119
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
109
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CVPR
2004
IEEE
15 years 3 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
120
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ICRA
2000
IEEE
15 years 3 months ago
2000
IEEE
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
130
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SISAP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...