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3DIM
1999
IEEE
15 years 11 months ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...
BMCBI
2006
141views more  BMCBI 2006»
15 years 6 months ago
Asymptotic behaviour and optimal word size for exact and approximate word matches between random sequences
Background: The number of k-words shared between two sequences is a simple and effcient alignment-free sequence comparison method. This statistic, D2, has been used for the cluste...
Sylvain Forêt, Miriam R. Kantorovitz, Conrad...
PAMI
2011
15 years 1 months ago
Robust Stereo Matching Using Adaptive Normalized Cross-Correlation
—A majority of the existing stereo matching algorithms assume that the corresponding color values are similar to each other. However, it is not so in practice as image color valu...
Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
IJCV
2008
282views more  IJCV 2008»
16 years 11 months ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...
ICCV
2009
IEEE
16 years 1 months ago
Multiperspective Stereo Matching and Volumetric Reconstruction
Stereo matching and volumetric reconstruction are the most explored 3D scene recovery techniques in computer vision. Many existing approaches assume perspective input images and us...
Yuanyuan Ding, Jingyi Yu, and Peter Sturm