ORIENTED GEODESIC DISTANCE BASED NON-LOCAL REGULARISATION APPROACH FOR OPTIC FLOW ESTIMATION

被引:0
|
作者
Yu, Sha [1 ]
Molloy, Derek [1 ]
机构
[1] Dublin City Univ, CIPA, Dublin 9, Ireland
来源
2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013) | 2013年
关键词
Motion estimation; optic flow; non-local regularisation; geodesic distance; orientation adaptive;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Optical flow (OF) estimation needs spatial coherence regularisation, due to local image noise and the well-known aperture problem. More recently, OF local-region regularisation has been extended to larger or non-local region of regularisation to further deal with the aperture problem. After careful literature review, it has been determined that the criteria used for deciding the degree of motion coherence can be further improved. For this reason, we propose an oriented geodesic distance based motion regularisation scheme. The proposed approach is particular useful in reducing errors in estimating motions along object boundaries, and recovering motions for nearby objects with similar appearance. Experiment results, compared to leading-edge non-local regularisation schemes, have confirmed the superior performance of the proposed approach.
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收藏
页数:7
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