Layered scene reconstruction from multiple light field camera views

Abstract

We propose a framework to infer complete geometry of a scene with strong reflections or hidden by partially transparent occluders from a set of 4D light fields captured with a hand-held light field camera. For this, we first introduce a variant of bundle adjustment specifically tailored to 4D light fields to obtain improved pose parameters. Geometry is recovered in a global framework based on convex optimization for a weighted minimal surface. To allow for non-Lambertian materials and semi-transparent occluders, the point-wise costs are not based on the principle of photo-consistency. Instead, we perform a layer analysis of the light field obtained by finding superimposed oriented patterns in epipolar plane image space to obtain a set of depth hypotheses and confidence scores, which are integrated into a single functional.