Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues

arXiv:2403.02043v1 Announce Type: cross
Abstract: Light field cameras and multi-camera arrays have emerged as promising solutions for accurately estimating depth by passively capturing light information. This is possible because the 3D information of a scene is embedded in the 4D light field geometry. Commonly, depth estimation methods extract this information relying on gradient information, heuristic-based optimisation models, or learning-based approaches. This paper focuses mainly on explicitly understanding and exploiting 4D geometrical cues for light field depth estimation. Thus, a novel …

abstract arrays arxiv cameras cs.cv eess.iv embedded extract geometry information iterative light solutions type