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» Image matching based on a local invariant descriptor
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ICIP
2008
IEEE
16 years 8 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
16 years 17 days ago
A Matching-Based Approach for Human Motion Analysis
Abstract. This paper presents a novel approach to implement estimation and recognition of human motion from uncalibrated monocular video sequences. As it is difficult to find a go...
Weilun Lao, Jungong Han, Peter H. N. de With
CVPR
2009
IEEE
1976views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n...
Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huan...
CVPR
2005
IEEE
16 years 8 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
ICIP
2010
IEEE
15 years 4 months ago
Explore multiple clues for urban images matching
Many well-known existing image matching methods are based on local texture analysis, and consequently have difficulty handling low-textured 3D objects, such as those man-made buil...
Quan Wang, Suya You