Optical flow computation with fourth order partial differential equations

Authors:
Xiaoxin Guo;Zhiwen Xu;Yueping Feng;Yunxiao Wang;Zhengxuan Wang
Affiliations:
Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, P.R. China;Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, P.R. China;Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, P.R. China;Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, P.R. China;Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, P.R. China
Venue:
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2006

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Abstract

In this paper, we propose a new hybrid optical flow computation with fourth order partial differential equations (PDEs). The integration of local and global optical flow methods exploits fourth order PDEs rather than second order for the purpose of the improvement of smoothness and accuracy of the estimated optical flow field. Furthermore, we describe the implementation of the method in detail. The experiments show that the employment of fourth order PDEs benefits the improvement of the two aspects of the resulting optical flow field.