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» Learning Feature Distance Measures for Image Correspondences
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NIPS
2001
13 years 10 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille
PAMI
2002
201views more  PAMI 2002»
13 years 8 months ago
ICP Registration Using Invariant Features
This paper investigates the use of Euclidean invariant features in a generalization of iterative closest point registration of range images. Pointwisecorrespondences are chosen as...
Gregory C. Sharp, Sang Wook Lee, David K. Wehe
CVPR
2011
IEEE
13 years 5 months ago
Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
Zhiding Yu, Oscar Au, Ketan Tang
CVPR
2003
IEEE
14 years 11 months ago
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
In this paper, we present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class ...
Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, ...
ICIP
1998
IEEE
14 years 10 months ago
Generalized Distance based Matching of Nonbinary Images
We develope a technique to perform e cient and accurate matching to detect the occurences of a template in a scene. The template may describe an object or a textured surface. Repr...
Bülent Sankur, Cenk Köse, Valery V. Star...