Dense image correspondence under large appearance variations

This paper addresses the difficult problem of finding dense correspondence across images with large appearance variations. Our method uses multiple feature samples at each pixel to deal with the appearance variations based on our observation that pre-defined single feature sample provides poor resul...

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Bibliographic Details
Main Authors: LIU, Linlin, LOW, Kok-Lim, LIN, Wen-yan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/4811
https://ink.library.smu.edu.sg/context/sis_research/article/5814/viewcontent/image_match_icip2013.pdf
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Institution: Singapore Management University
Language: English