558 search results - page 13 / 112 » Highly Discriminative Invariant FEatures for Image Matching |
171
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ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
130
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ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between...
101
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ICIP
2005
IEEE
2005
IEEE
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects
16 years 3 months ago
We present a new approach based on Discriminant Analysis to map a high dimensional image feature space onto
191
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BCS
2008
15 years 3 months ago
2008
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
127
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper...