Zhu, HaoSun, XiaomingZhang, QiWang, QingRobles-Kelly, AntonioLi, HongdongJawahar, CLi, HMori, GSchindler, K2024-02-19December 2978-3-030-20886-8http://hdl.handle.net/1885/313735Optical 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.The work was supported in part by NSFC under Grant 61531014application/pdfen-AU© Springer Nature Switzerland AG 2019Light fieldOptical flow201910.1007/978-3-030-21074-8_12022-10-02