4D Light Field Segmentation From Light Field Super-Pixel Hypergraph Representation

Efficient and accurate segmentation of full 4D light fields is an important task in computer vision and computer graphics. The massive volume and the redundancy of light fields make it an open challenge. In this article, we propose a novel light field hypergraph (LFHG) representation using the light field super-pixel (LFSP) for interactive light field segmentation. The LFSPs not only maintain the light field spatio-angular consistency, but also greatly contribute to the hypergraph coarsening. These advantages make LFSPs useful to improve segmentation performance. Based on the LFHG representation, we present an efficient light field segmentation algorithm via graph-cut optimization. Experimental results on both synthetic and real scene data demonstrate that our method outperforms state-of-the-art methods on the light field segmentation task with respect to both accuracy and efficiency.

Automated summary

Efficient and accurate segmentation of full 4D light fields is achieved through a novel light field hypergraph representation using light field super-pixels. The proposed algorithm improves segmentation performance and outperforms state-of-the-art methods in terms of both accuracy and efficiency.