A 3-D modeling method adapted to non-linear depth-compression for integral 3-D imaging

Abstract

We propose a 3-D modeling method adapted to non-linear depth-compression for integral 3-D imaging. The method is possible to generate 3-D models by efficient spatial sampling based on inverse function of non-linear depth-compress function in depth estimation process. In an experiment, we reconstructed 3-D model and integral 3-D images and confirmed that the depth of 3-D images were effectively compressed with less distortion by using the method.