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» Highly Discriminative Invariant FEatures for Image Matching
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ICASSP
2009
IEEE
15 years 8 months ago
Making chroma features more robust to timbre changes
Chroma-based audio features are a well-established tool for analyzing and comparing music data. By identifying spectral components that differ by a musical octave, chroma features...
Meinard Müller, Sebastian Ewert, Sebastian Kr...
PAMI
2008
152views more  PAMI 2008»
15 years 1 months ago
Class-Based Feature Matching Across Unrestricted Transformations
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
Evgeniy Bart, Shimon Ullman
CVPR
2009
IEEE
1070views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Surface Feature Detection and Description with Applications to Mesh Matching
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We pro...
Andrei Zaharescu (INRIA Grenoble), Edmond Boyer (L...
ICIP
2005
IEEE
16 years 3 months ago
Multiple feature models for image matching
The common approach to image matching is to detect spatial features present in both images and create a mapping that relates both images. The main drawback of this method takes pl...
Juan Morales-Sánchez, Rafael Verdú, ...
CVPR
2007
IEEE
16 years 4 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