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» Highly Discriminative Invariant FEatures for Image Matching
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ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
14 years 3 days ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
ICIP
2003
IEEE
14 years 7 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
BMCBI
2004
162views more  BMCBI 2004»
13 years 5 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
ICCV
2011
IEEE
12 years 8 months ago
Fast Template Matching in Non-Linear Tone-Mapped Images
We propose a fast pattern matching scheme termed Matching by Tone Mapping (MTM) which allows matching under non-linear tone mappings. We show that, when tone mapping is approximate...
Yacov Hel-Or, Hagit Hel-Or and Eyal David
CVPR
2011
IEEE
13 years 1 months ago
Discriminative Image Warping with Attribute Flow
We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-va...
Weiyu Zhang, Praveen Srinivasan, Jianbo Shi