Robust non-parametric data fitting for correspondence modeling

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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書目詳細資料
Main Authors:	LIN, Wen-yan, CHENG, Ming-Ming, ZHENG, Shuai, LU, Jiangbo, CROOK, Nigel
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2013
主題:	curve fitting matching non-parametric spline; warping Graphics and Human Computer Interfaces
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/4809 https://ink.library.smu.edu.sg/context/sis_research/article/5812/viewcontent/DataFittingICCV13.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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