26 March 2012 Weighted root mean square approach to select the optimal smoothness parameter of the variational optical flow algorithms
Zhigang Tu, Wolfgang Huerst, Wei Xie, Shufen Xiong, Qianqing Qin
Author Affiliations +
Abstract
Variational methods are the most widely used approaches for optical flow computation. Many complicated algorithms have been proposed to improve their performance, yet little work has focused on how to select the optimal smoothness parameter λ of the variational optical flow algorithm itself. We present a weighted root mean square error method to automatically select the optimal smoothness parameter λ. Furthermore, we detail a scientific method for selecting the reference λ0 based on the quality of the frame, and propose an efficient brute-force approach to assign a group of λ, that will reduce the number of λ candidates to be tested by cutting down the search range. Experimental results validate the effectiveness of our methods.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Zhigang Tu, Wolfgang Huerst, Wei Xie, Shufen Xiong, and Qianqing Qin "Weighted root mean square approach to select the optimal smoothness parameter of the variational optical flow algorithms," Optical Engineering 51(3), 037202 (26 March 2012). https://doi.org/10.1117/1.OE.51.3.037202
Published: 26 March 2012
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Optical flow

Optical engineering

Error analysis

Motion estimation

Databases

Visual process modeling

Computer vision technology

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