A light field three-dimensional ranging system based on regularization

Abstract

A high-precision light field three-dimensional ranging system based on regularization is proposed. This method transforms the sub-aperture image resolution problem into a global optimization problem. The objective function is constructed to capture the relationships between the light field views. The complementary information in the light field views is then utilized to improve the spatial resolution of the light field. In particular, regularizations of fuzzy matrix-based and optical flow-field-based use of information from multiple viewpoints can effectively enhance the light field structure of the system. The experimental results show that the proposed method can perform scene distance measurement accuracy and has better depth estimation. The proposed method effectively solves image depth distortion in traditional light field imaging. It eliminates the influence of low resolution of sub-aperture images on depth estimation to the maximum extent.