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» Using multiscale top points in image matching
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ICIP
2006
IEEE
15 years 11 months ago
A Probabilistic Approach to Robust Shape Matching
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
Graham McNeill, Sethu Vijayakumar
CVPR
2007
IEEE
15 years 11 months ago
Image Matching via Saliency Region Correspondences
We introduce the notion of co-saliency for image matching. Our matching algorithm combines the discriminative power of feature correspondences with the descriptive power of matchi...
Alexander Toshev, Jianbo Shi, Kostas Daniilidis
IVC
2000
113views more  IVC 2000»
14 years 9 months ago
Matching disparate views of planar surfaces using projective invariants
Feature matching is a prerequisite to a wide variety of vision tasks. This paper presents a method that addresses the problem of matching disparate views of coplanar points and li...
Manolis I. A. Lourakis, Spyros T. Halkidis, Stelio...
ICCV
1999
IEEE
15 years 11 months ago
Free-Form Surface Registration using Surface Signatures
This paper introduces a new free-form surface representation scheme for the purpose of fast and accurate registration and matching. Accurate registration of surfaces is a common t...
Sameh M. Yamany, Aly A. Farag
ICDAR
2009
IEEE
14 years 7 months ago
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
Detection of curled textline is important for dewarping of hand-held camera-captured document images. Then baselines and the lines following the top of x-height of characters (x-l...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...