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» Highly Discriminative Invariant FEatures for Image Matching
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CVPR
1997
IEEE
15 years 5 days ago
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
Jeffrey S. Beis, David G. Lowe
PR
2008
195views more  PR 2008»
13 years 9 months ago
Object detection by global contour shape
We present a method for object class detection in images based on global shape. A distance measure for elastic shape matching is derived, which is invariant to scale and rotation,...
Konrad Schindler, David Suter
AMR
2007
Springer
197views Multimedia» more  AMR 2007»
14 years 4 months ago
How to Use SIFT Vectors to Analyze an Image with Database Templates
During last years, local image descriptors have received much attention because of their efficiency for several computer vision tasks such as image retrieval, image comparison, fea...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent
ICIP
2008
IEEE
14 years 12 months ago
Robust video fingerprinting based on 2D-OPCA of affine covariant regions
This paper proposes a robust video fingerprinting method based on 2-Dimensional Oriented Principal Component Analysis (2D-OPCA) of affine covariant regions. The goal of video fing...
Chang Dong Yoo, Sunil Lee
CVPR
2008
IEEE
15 years 5 days ago
Matching images under unstable segmentations
Region based features are getting popular due to their higher descriptive power relative to other features. However, real world images exhibit changes in image segments capturing ...
Varsha Hedau, Himanshu Arora, Narendra Ahuja