343 search results - page 10 / 69 » Mercer Kernels for Object Recognition with Local Features |
150
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ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
125
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ICPR
2008
IEEE
15 years 10 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...
140
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
141
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ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
154
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...