Robust non-parametric data fitting for correspondence modeling
We propose a generic method for obtaining nonparametric image warps from noisy point correspondences. Our formulation integrates a huber function into a motion coherence framework. This makes our fitting function especially robust to piecewise correspondence noise (where an image section is consiste...
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Main Authors: | LIN, Wen-yan, CHENG, Ming-Ming, ZHENG, Shuai, LU, Jiangbo, CROOK, Nigel |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4809 https://ink.library.smu.edu.sg/context/sis_research/article/5812/viewcontent/DataFittingICCV13.pdf |
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Institution: | Singapore Management University |
Language: | English |
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