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» WLD: A Robust Local Image Descriptor
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IJON
2008
105views more  IJON 2008»
13 years 8 months ago
A comprehensive review of current local features for computer vision
Local features are widely utilized in a large number of applications, e.g., object categorization, image retrieval, robust matching, and robot localization. In this review, we foc...
Jing Li, Nigel M. Allinson
ICCV
2011
IEEE
12 years 8 months ago
Local Intensity Order Pattern for Feature Description
This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal i...
Zhenhua Wang, Bin Fan, Fuchao Wu
CVPR
2009
IEEE
1378views Computer Vision» more  CVPR 2009»
15 years 2 months ago
A Novel Feature Descriptor Invariant to Complex Brightness Changes
We describe a novel and robust feature descriptor called ordinal spatial intensity distribution (OSID) which is invariant to any monotonically increasing brightness changes. Many t...
Feng Tang, Suk Hwan Lim, Nelson L. Chang, Hai Tao
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
BMVC
2002
13 years 11 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe