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Anti-occlusion light-field optical flow estimation using light-field super-pixels
conference contribution
posted on 2019-01-01, 00:00 authored by H Zhu, X Sun, Q Zhang, Q Wang, Antonio Robles-KellyAntonio Robles-Kelly, H LiOptical flow estimation is one of the most important problem in community. However, current methods still can not provide reliable results in occlusion boundary areas. Light field cameras provide hundred of views in a single shot, so the ambiguity can be better analysed using other views. In this paper, we present a novel method for anti-occlusion optical flow estimation in a dynamic light field. We first model the light field superpixel (LFSP) as a slanted plane in 3D. Then the motion of the occluded pixels in central view slice can be optimized by the un-occluded pixels in other views. Thus the optical flow in occlusion boundary areas can be well computed. Experimental results on both synthetic and real light fields demonstrate the advantages over state-of-the-arts and the performance on 4D optical flow computation.
History
Event
Computer Vision. Workshops (14th : 2018 : Perth, W.A.)Volume
11367Series
Computer Vision WorkshopsPagination
3 - 12Publisher
SpringerLocation
Perth, W.A.Place of publication
Cham, SwitzerlandPublisher DOI
Start date
2018-12-02End date
2018-12-06ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030210731Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2019, Springer Nature Switzerland AGEditor/Contributor(s)
G Carneiro, S YouTitle of proceedings
ACCV 2018 : Proceedings of the 14th Asian Conference on Computer VisionUsage metrics
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