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ICIP
2004
IEEE
15 years 11 months ago
New features for affine-invariant shape classification
An object seen from different viewpoints results in differently deformed images. Affine-invariant shape classification must classify correctly the object, disregarding its viewpoi...
Carlos Ramon Pantaleon Dionisio, Hae Yong Kim
ICCV
1998
IEEE
15 years 11 months ago
Wide Baseline Stereo Matching
`Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then desc...
Philip Pritchett, Andrew Zisserman
ECCV
2008
Springer
15 years 11 months ago
Image Feature Extraction Using Gradient Local Auto-Correlations
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Takumi Kobayashi, Nobuyuki Otsu
ISBI
2007
IEEE
15 years 4 months ago
N-Sift: N-Dimensional Scale Invariant Feature Transform for Matching Medical Images
We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer vision SIFT technique for extracting and matching di...
Warren Cheung, Ghassan Hamarneh
MVA
2007
285views Computer Vision» more  MVA 2007»
14 years 9 months ago
Contour Retrieval and Matching by Affine Invariant Fourier Descriptors
In the image plane, a 3 Dimensional movement of planar rigid object can be represented satisfactory by an affine motion of his boundary (the exterior contour) which we assume to b...
Fatma Chaker, M. Tarak Bannour, Faouzi Ghorbel