
Occlusion handling using angular spectrum convolution in fully analytical mesh based computer generated hologram
Author(s) -
Mehdi Askari,
Seong-Bok Kim,
Kwangsoo Shin,
Seok-Bum Ko,
Sang-Hoo Kim,
Dae-Youl Park,
Yeon-Gyeong Ju,
JaeHyeung Park
Publication year - 2017
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.025867
Subject(s) - computer science , convolution (computer science) , holography , computer generated holography , computer vision , polygon mesh , parallax , artificial intelligence , computer graphics , masking (illustration) , optics , algorithm , computer graphics (images) , physics , art , artificial neural network , visual arts
Occlusion handling in computer-generated holography is of vast importance as it enhances depth information by presenting correct motion parallax of the 3D scene within the viewing angle. In this paper, we propose a computationally efficient occlusion handling technique based on a fully analytic mesh based computer generated holography. The proposed technique uses angular spectrum convolution that renders exact occlusion while preserving all other aspects of the fully analytic mesh based computer generated holography. The proposed method is computationally efficient as only a single convolution operation is required for each mesh without numerical propagation between the meshes. The proposed method is also exact as it performs the occlusion processing in the tilted mesh plane, being free from artifacts coming from orthographic spatial masking. The proposed method can be applied to the self and the mutual occlusions between the objects in the 3D scene. The computer simulated results show the feasibility of the proposed method.