2018
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling
CVPR 2018poster
We address the problem of depth estimation from light-field images. Our main contribution is a new way to handle occlusions which improves general accuracy and quality of object borders. In contrast to all prior work we work with a model which directly incorporates both depth and occlusion, using a…