Occlusion-aware depth estimation for light field using multi-orientation EPIs
作者：
Highlights：
• We introduced a method to extract various directions of EPIs and showed that the optimal EPI has the same direction as the occlusion boundary.
• We proposed to detect the occlusion boundaries based on the variance and gradient of local depth values, and find the accurate depth label from the optimal EPI.
• We developed a novel framework that combines the local disparity map with the occlusion boundary to deal with occlusions so as to obtain robust depth maps.
摘要
•We introduced a method to extract various directions of EPIs and showed that the optimal EPI has the same direction as the occlusion boundary.•We proposed to detect the occlusion boundaries based on the variance and gradient of local depth values, and find the accurate depth label from the optimal EPI.•We developed a novel framework that combines the local disparity map with the occlusion boundary to deal with occlusions so as to obtain robust depth maps.
论文关键词：Light field,Depth estimation,Multi-orientation EPIs,Occlusion analysis
论文评审过程：Received 31 January 2017, Revised 19 June 2017, Accepted 5 September 2017, Available online 6 September 2017, Version of Record 28 October 2017.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.09.010
