Leportier, Thibault Park, Min-Chul 2024-01-20T02:33:15Z 2024-01-20T02:33:15Z 2021-08-31 2017-01 0091-3286 https://pubs.kist.re.kr/handle/201004/123295 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. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. English SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS FRESNEL HOLOGRAM ALGORITHM Generation of binary holograms for deep scenes captured with a camera and a depth sensor Article 10.1117/1.OE.56.1.013107 1 OPTICAL ENGINEERING, v.56, no.1 OPTICAL ENGINEERING 56 1 scie scopus 000396389400048 2-s2.0-85009455647 Optics Optics Article FRESNEL HOLOGRAM ALGORITHM digital holography binary hologram direct binary search bidirectional error diffusion