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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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2013
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| 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 |