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» Image Matching via Saliency Region Correspondences
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CVPR
2001
IEEE
15 years 11 months ago
Semi-Dense Stereo Correspondence with Dense Features
We present a new feature based algorithm for stereo correspondence. Most of the previous feature based methods match sparse features like edge pixels, producing only sparse dispar...
Olga Veksler
ICCV
1998
IEEE
15 years 11 months ago
Wide Baseline Stereo Matching
`Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then desc...
Philip Pritchett, Andrew Zisserman
IJCV
2002
157views more  IJCV 2002»
14 years 9 months ago
Dense Features for Semi-Dense Stereo Correspondence
We present a new feature based algorithm for stereo correspondence. Most of the previous feature based methods match sparse features like edge pixels, producing only sparse dispar...
Olga Veksler
CVPR
2008
IEEE
15 years 11 months ago
SMRFI: Shape matching via registration of vector-valued feature images
We perform shape matching by transforming the problem of establishing shape correspondences into an image registration problem. At each vertex on the shape, we calculate a shape f...
Lisa Tang, Ghassan Hamarneh
PCM
2010
Springer
193views Multimedia» more  PCM 2010»
14 years 8 months ago
Color Spectrum Normalization: Saliency Detection Based on Energy Re-allocation
Spectrum normalization is a process shared by two saliency detection methods, Spectral Residual (SR) and Phase Fourier Transform (PFT). In this paper, we point out that the essence...
Zhuoliang Kang, Junping Zhang