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BMVC
2002
13 years 8 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
ICIP
2010
IEEE
13 years 3 months ago
Probing the local-feature space of interest points
We describe an empirical study on the feature space of interest points for natural images. Although local features have been widely used in image analysis as building blocks of va...
Wei-Ting Lee, Hwann-Tzong Chen
ICPR
2008
IEEE
14 years 8 hour 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
ICPR
2008
IEEE
14 years 6 months ago
Feature selection for real-time image matching systems
This paper proposes a general feature selection approach for real-time image matching systems. To demonstrate the idea's effectiveness, we focus on the issue of rotational in...
Quan Wang, Suya You