CGCI-SIFT: A More Efficient and Compact Representation of Local Descriptor

CGCI-SIFT: A More Efficient and Compact Representation of Local Descriptor

This paper proposes a novel invariant local descriptor, a combination of gradient histograms with contrast intensity (CGCI), for image matching and object recognition. Considering the different contributions of sub-regions inside a local interest region to an interest point, we divide the local inte...

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Bibliographic Details
Main Authors: Su Dongliang, Wu Jian, Cui Zhiming, Sheng Victor S., Gong Shengrong
Format: Article
Language:English
Published: Sciendo 2013-06-01
Series:Measurement Science Review
Subjects:
image matching
descriptor
sift
cgci-sift
real-time
Online Access:https://doi.org/10.2478/msr-2013-0022

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