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» Using multiscale top points in image matching
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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
CBMS
2003
IEEE
15 years 3 months ago
Localizing Contour Points for Indexing an X-Ray Image Retrieval System
Vertebra shape can effectively describe various pathologies found in spine x-ray images. There are some critical regions on the shape contour which help determine whether the shap...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
96
Voted
BMVC
1998
14 years 11 months ago
Efficient Dense Matching for Textured Scenes using Region Growing
We present a simple and efficient dense matching method based on region growing techniques, which can be applied to a wide range of globally textured images like many outdoor scen...
Maxime Lhuillier
80
Voted
ECCV
2006
Springer
15 years 11 months ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó
AVSS
2009
IEEE
14 years 7 months ago
3D Face Recognition Using Multiview Keypoint Matching
A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate eac...
Michael Mayo, Edmond Zhang