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» A fast local descriptor for dense matching
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CVPR
2007
IEEE
14 years 9 months ago
Matching Local Self-Similarities across Images and Videos
We present an approach for measuring similarity between visual entities (images or videos) based on matching internal self-similarities. What is correlated across images (or acros...
Eli Shechtman, Michal Irani
ECCV
2008
Springer
14 years 9 months ago
Localizing Objects with Smart Dictionaries
Abstract. We present an approach to determine the category and location of objects in images. It performs very fast categorization of each pixel in an image, a brute-force approach...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
BMVC
2002
13 years 9 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
CVPR
2010
IEEE
13 years 11 months ago
Model Globally, Match Locally: Efficient and Robust 3D Object Recognition
This paper addresses the problem of recognizing freeform 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local informati...
Bertram Drost, Markus Ulrich, Nassir Navab, Slobod...
CVPR
2004
IEEE
14 years 9 months ago
Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
We propose a novel approach to point matching under large viewpoint and illumination changes that is suitable for accurate object pose estimation at a much lower computational cos...
Vincent Lepetit, Julien Pilet, Pascal Fua