Open Access
13 January 2017 Generation of binary holograms for deep scenes captured with a camera and a depth sensor
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Abstract
This work presents binary hologram generation from images of a real object acquired from a Kinect sensor. Since hologram calculation from a point-cloud or polygon model presents a heavy computational burden, we adopted a depth-layer approach to generate the holograms. This method enables us to obtain holographic data of large scenes quickly. Our investigations focus on the performance of different methods, iterative and noniterative, to convert complex holograms into binary format. Comparisons were performed to examine the reconstruction of the binary holograms at different depths. We also propose to modify the direct binary search algorithm to take into account several reference image planes. Then, deep scenes featuring multiple planes of interest can be reconstructed with better efficiency.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Thibault Leportier and Min-Chul Park "Generation of binary holograms for deep scenes captured with a camera and a depth sensor," Optical Engineering 56(1), 013107 (13 January 2017). https://doi.org/10.1117/1.OE.56.1.013107
Received: 31 October 2016; Accepted: 15 December 2016; Published: 13 January 2017
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Holograms

Binary data

Sensors

Cameras

Holography

Reconstruction algorithms

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