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» Learning Feature Distance Measures for Image Correspondences
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ICCS
2005
Springer
13 years 10 months ago
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
13 years 11 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
ICIAR
2005
Springer
13 years 10 months ago
Shape Similarity Measurement for Boundary Based Features
In this study, we propose two algorithms for measuring the distance between shape boundaries. In the algorithms, shape boundary is represented by the Beam Angle Statistics (BAS), w...
Nafiz Arica, Fatos T. Yarman-Vural
PAMI
1998
170views more  PAMI 1998»
13 years 4 months ago
Ordinal Measures for Image Correspondence
—We present ordinal measures of association for image correspondence in the context of stereo. Linear correspondence measures like correlation and the sum of squared difference b...
Dinkar N. Bhat, Shree K. Nayar