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» Highly Discriminative Invariant FEatures for Image Matching
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CIVR
2006
Springer
106views Image Analysis» more  CIVR 2006»
15 years 5 months ago
Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting
Abstract. Recent research in video retrieval has focused on automated, highlevel feature indexing on shots or frames. One important application of such indexing is to support preci...
Shi-Yong Neo, Jin Zhao, Min-Yen Kan, Tat-Seng Chua
ICCV
2003
IEEE
16 years 3 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
PAMI
2011
14 years 9 months ago
Matching Forensic Sketches to Mug Shot Photos
—The problem of matching a forensic sketch to a gallery of mug shot images is addressed in this paper. Previous research in sketch matching only offered solutions to matching hig...
Brendan Klare, Zhifeng Li, Anil K. Jain
ISBI
2004
IEEE
16 years 2 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...
CVPR
2009
IEEE
16 years 9 months ago
SIFT-Rank: Ordinal Description for Invariant Feature Correspondence
This paper investigates ordinal image description for invariant feature correspondence. Ordinal description is a meta-technique which considers image measurements in terms of th...
Matthew Toews, William M. Wells III