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» Image matching based on a local invariant descriptor
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CVPR
2009
IEEE
1930views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space
Radiometric variations between input images can seriously degrade the performance of stereo matching algorithms. In this situation, mutual information is a very popular and powe...
Yong Seok Heo (Seoul National University), Kyoung ...
ICIP
2003
IEEE
14 years 9 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
ECCV
2002
Springer
14 years 9 months ago
An Affine Invariant Interest Point Detector
This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such...
Krystian Mikolajczyk, Cordelia Schmid
ICPR
2008
IEEE
14 years 2 months ago
Ranking the local invariant features for the robust visual saliencies
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 ...
Shengping Xia, Peng Ren, Edwin R. Hancock