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» A novel local feature descriptor for image matching
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WWW
2009
ACM
15 years 10 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
PAMI
2012
13 years 7 days ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
ICIP
2007
IEEE
15 years 1 months ago
A Novel Facial Feature Point Localization Method on 3D Faces
Although 2D-based face recognition methods have made great progress in the past decades, there are also some unsolved problems such as PIE. Recently, more and more researchers hav...
Peng Guan, Yaoliang Yu, Liming Zhang
CVPR
2011
IEEE
14 years 1 months ago
Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor
A novel local image descriptor is proposed in this paper, which combines intensity orders and gradient distributions in multiple support regions. The novelty lies in three aspects...
Bin Fan, Fuchao Wu, Zhanyi Hu
ISBI
2004
IEEE
15 years 10 months ago
Local Feature Matching Using Entropic Graphs
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...