Abstract

We propose a novel graph model called as Depth-induced Cellular Automata (DCA) to optimize light field saliency maps. DCA is robust to a wide range of challenging scenes because it takes account of interactions and complementarities in the intrinsic structure among the abundant cues on light field. The experimental results can confirm the feasibility of the proposed method.

© 2018 The Author(s)