Hybrid camera array based calibration for computer-generated integral photography display.

Abstract

Integral photography (IP) is one of the most promising 3D displays that can achieve a full parallax 3D display without glasses. There is a great need to render a correct, high-precision 3D image from an IP display. To achieve a correct 3D display, calibration is needed to correct optical misalignment and optical aberrations, while it is challenging to achieve correct mapping between a microlens array and matrix display. We propose an IP calibration method for a 3D autostereoscopic integral photography display based on a sparse camera array. Our method distinguishes itself from previous methods by estimating parameters for a dense correspondence map of an IP display with a relatively flexible setup and high precision in a reasonable time cost. We also propose a workflow to enable our method to handle both a visible and invisible microlens array and obtain a great outcome. One prototype is fabricated to evaluate the feasibility of the proposed method. Moreover, we evaluate our proposed method in geometry accuracy and image quality.