High Efficient Computational Integral Imaging Reconstruction Based on Parallel-Group Projection (PGP) Method

Integral imaging is an auto-stereoscopic 3D technique presenting remarkable advantages over classical stereo. In this paper we propose a new computational integral imaging reconstruction (CIIR) technique based on Parallel-Group Projection (PGP) method to improve the performance of CIIR. Different from previous CIIR techniques which project each point of integral image (II) to the reconstructed plane pixel by pixel, the proposed method reconstruct the 3D image by mapping a series of sub image (SI) onto the reconstructed plane successively, where each SI records pixels from parallel light rays with identical viewing angle. According to experimental results, this approach is able to simplify the calculation of reconstruction process and improve the quality of reconstructed 3D image.

Published

2011-06

Content type

Original Research

Keywords

integral imaging, computational reconstruction, parallel-group projection, sub image

DOI

10.5594/M001429

ISBN

978-1-61482-951-5