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» Learning Feature Distance Measures for Image Correspondences
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CVPR
2006
IEEE
14 years 3 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
ICIP
2007
IEEE
14 years 10 months ago
Edge Preserving Filters using Geodesic Distances on Weighted Orthogonal Domains
We introduce a framework for image enhancement, which smooths images while preserving edge information. Domain (spatial) and range (feature) information are combined in one single...
Luca Bertelli, B. S. Manjunath
CAIP
1999
Springer
180views Image Analysis» more  CAIP 1999»
14 years 1 months ago
A Scale-Space Approach to Face Recognition from Profiles
A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, ...
Zdravko Liposcak, Sven Loncaric
CVRMED
1997
Springer
14 years 1 months ago
Rigid registration of CT, MR and cryosection images using a GLCM framework
The majority of the available rigid registration measures are based on a 2-dimensional histogram of corresponding grey-values in the registered images. This paper shows that these ...
Morten Bro-Nielsen
3DIM
2007
IEEE
14 years 3 months ago
Deformable Registration of Textured Range Images by Using Texture and Shape Features
This paper describes a method to align textured range images of deforming objects. The proposed procedure aligns deformable 3D models by matching both texture and shape features. ...
Ryusuke Sagawa, Nanaho Osawa, Yasushi Yagi