Light Field Stitching for Parallax Tolerance

Pei Wang, Xin Jin, Chuanpu Li, Yanqin Chen, Qionghai Dai

Abstract: In this paper, a novel light field (LF) stitching method is proposed to handle parallax more flexibly and accurately. The depth guided feature point filtering and depth-based motion model are proposed to warp the 4D meshes in the LFs adapting to the relative depth layer distance between the mesh center and the feature points. Also, 4D graph-cut is applied in LF fusion to reduce ghosting effects and produce better refocusing effects. Experimental results show that the proposed method works well without producing visual artifacts like ghosting or misalignments. It outperforms the existing approaches obviously in terms of the subjective quality of the stitched LFs, RMSE and the coherence in epipolar plane image (EPI).