A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views

摘要

In this paper, we propose a learning-based depth estimation framework suitable for both densely and sparsely sampled light fields. The proposed framework consists of three processing steps: initial depth estimation, fusion with occlusion handling, and ref