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» Learning Feature Distance Measures for Image Correspondences
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ICPR
2006
IEEE
14 years 10 months ago
Isomap Based on the Image Euclidean Distance
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping (Isomap) is one of the representative techniques of man...
Jie Chen, Ruiping Wang, Shiguang Shan, Wen Gao, Xi...
CVPR
2005
IEEE
14 years 11 months ago
Optimal Point Correspondence through the Use of Rank Constraints
We propose a solution to the n-frame correspondence problem under the factorization framework. During the matching process, our algorithm takes explicitly into account the geometr...
João Costeira, João Xavier, Ricardo ...
CVPR
2004
IEEE
14 years 11 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICPR
2008
IEEE
14 years 3 months ago
Establishing point correspondence using multidirectional binary pattern for face recognition
This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrenc...
Sanqiang Zhao, Yongsheng Gao
CVPR
2005
IEEE
14 years 11 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik