Abstract:
Hand-held plenoptic cameras may benefit from light field (LF) stitching. LF stitching methods cannot register scenes with large depth variation. This paper proposes a new LF stitching method to handle parallax in LFs more accurately and flexibly.
First, a depth layer map (DLM) ensures sufficient feature points on each depth layer. Superpixel layer map (SLM) based on LF spatial correlation analysis refines depth layer assignments in nondeterministic depth regions.
DLM-SLM-based LF registration is proposed to accurately derive location-dependent homography transforms and warp LFs to their corresponding positions without parallax interference. 4D graph-cut is used to fuse registration results for better LF spatial and angular continuity.
Horizontal, vertical, and multi-LF stitching are tested for different scenes, showing that the proposed method performs better in terms of subjective quality, epipolar plane image consistency, and perspective-averaged correlation between the stitched and input LFs.
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