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ECCV
2008
Springer
11 years 3 months ago
Active Matching
Abstract. In the matching tasks which form an integral part of all types of tracking and geometrical vision, there are invariably priors available on the absolute and/or relative i...
Margarita Chli, Andrew J. Davison
ECCV
2006
Springer
11 years 5 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
ICPR
2008
IEEE
11 years 7 months ago
Improvement of feature matching in catadioptric images using gyroscope data
Most of vision-based algorithms for motion and localization estimation requires matching some interest points in a pair of images. After building feature correspondence, it is pos...
Jean Charles Bazin, Inso Kweon, Cédric Demo...
ISVC
2009
Springer
11 years 7 months ago
Robust Registration of Aerial Image Sequences
We describe techniques for registering images from sequences of aerial images captured of the same terrain on diļ¬€erent days. The techniques are robust to changes in weather, incl...
Clark F. Olson, Adnan I. Ansar, Curtis W. Padgett
ICPR
2010
IEEE
11 years 8 months ago
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
CVPR
2010
IEEE
11 years 9 months ago
On improving point-based 3D recognition
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...
Edward Hsiao, Alvaro Collet, Martial Hebert
CVPR
2009
IEEE
1378views Computer Vision» more  CVPR 2009»
12 years 7 months ago
A Novel Feature Descriptor Invariant to Complex Brightness Changes
We describe a novel and robust feature descriptor called ordinal spatial intensity distribution (OSID) which is invariant to any monotonically increasing brightness changes. Many t...
Feng Tang, Suk Hwan Lim, Nelson L. Chang, Hai Tao
CVPR
2009
IEEE
12 years 8 months ago
Isometric Registration of Ambiguous and Partial Data
This paper introduces a new shape matching algorithm for computing correspondences between 3D surfaces that have undergone (approximately) isometric deformations. The new approach ...
Art Tevs (Max Planck Institute Informatik), Martin...
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