Open AccessImplementation of full-color holographic system using non-uniformly sampled 2D images and compressed point cloud gridding
Author(s) -
Yu Zhao,
KiChul Kwon,
Munkh-Uchral Erdenebat,
Seokhee Jeon,
Mei-Lan Piao,
Nam Kim
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.029746
Subject(s) - holography , optics , computer science , point cloud , computer vision , artificial intelligence , digital holography , fourier transform , compressed sensing , holographic display , point (geometry) , lens (geology) , mathematics , physics , geometry , mathematical analysis
A multiple-camera holographic system using non-uniformly sampled 2D images and compressed point cloud gridding (C-PCG) is suggested. High-quality, digital single-lens reflex cameras are used to acquire the depth and color information from real scenes; these are then virtually reconstructed by the uniform point cloud using a non-uniform sampling method. The C-PCG method is proposed to generate efficient depth grids by classifying groups of object points with the same depth values in the red, green, and blue channels. Holograms are obtained by applying fast Fourier transform diffraction calculations to the grids. Compared to wave-front recording plane methods, the quality of the reconstructed images is substantially better, and the computational complexity is dramatically reduced. The feasibility of our method is confirmed both numerically and optically.