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» A Probabilistic Framework for Correspondence and Egomotion
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ECCV
2006
Springer
13 years 8 months ago
A Probabilistic Framework for Correspondence and Egomotion
This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from image...
Justin Domke, Yiannis Aloimonos
3DPVT
2006
IEEE
139views Visualization» more  3DPVT 2006»
13 years 11 months ago
A Probabilistic Notion of Correspondence and the Epipolar Constraint
We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being rob...
Justin Domke, Yiannis Aloimonos
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
13 years 11 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos
ICIP
2005
IEEE
14 years 6 months ago
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework
We propose a multi-target tracking (MTT) algorithm in a sequential Bayesian framework that computes cell velocities from video microscopy. Unlike the traditional tracking methods,...
Nilanjan Ray, Gang Dong, Scott T. Acton
ACCV
2009
Springer
13 years 11 months ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee