Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing

This conference paper was published in the Proceedings of SPIE - The International Society for Optical Engineering[ © 2017 SPIE] and the definite version is available at : http://doi.org/10.1117/12.2251360 The Journal's website is at: https://www.spiedigitallibrary.org/conference-proceedings-of...

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Main Authors: Alam, Md Ashraful, Islam, Md Sifatul, Tareque, Mohd Zishan, Subhani, Mahfuze, Rafi, Mohammad Rashidur Rahman, Kim, Nam
Other Authors: Department of Computer Science and Engineering, BRAC University
Format: Conference paper
Language:English
Published: © 2017 SPIE 2018
Subjects:
Online Access:http://hdl.handle.net/10361/9529
http://doi.org/10.1117/12.2251360
id 10361-9529
record_format dspace
spelling 10361-95292018-07-25T10:45:54Z Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing Alam, Md Ashraful Islam, Md Sifatul Tareque, Mohd Zishan Subhani, Mahfuze Rafi, Mohammad Rashidur Rahman Alam, Md Ashraful Kim, Nam Department of Computer Science and Engineering, BRAC University Depth and color information GPU parallel processing Integral imaging Multi-directional elemental image sets Real-time This conference paper was published in the Proceedings of SPIE - The International Society for Optical Engineering[ © 2017 SPIE] and the definite version is available at : http://doi.org/10.1117/12.2251360 The Journal's website is at: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10126/1/Viewing-angle-enhancement-of-a-real-time-integral-imaging-system/10.1117/12.2251360.full?SSO=1 A novel method of viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing is proposed. The proposed system is composed of three processes: information acquisition of real objects, generation of multi-directional elemental image sets, and reconstruction of 3D images by using multidirectional projections scheme. To implement this system, depth and color (RGB) information of each object point are captured by a depth camera; then, a dynamic algorithm and GPU parallel processing are used for generating multidirectional elemental image sets to be illuminated in different directions as well as to maintain a real-time processing seed; and finally, 3D images are reconstructed by using a time-multiplexed multi-directional projection scheme through an appropriate optical setup of a projection-type integral image system. Multi-directional illuminations of elemental image sets enhance the optical ray divergence of reconstructed 3D images according to the directional projection angles. Hence, a real-time integral imaging system with enhanced viewing angle is achieved. Published 2018-02-20T06:52:11Z 2018-02-20T06:52:11Z 2017-02 Conference paper Alam, M. A., Islam, M. S., Tareque, M. Z., Subhani, M., Rafi, M. R. R., Alam, M. S., & Kim, N. (2017). Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 1012610.1117/12.2251360 978-151060693-7 0277786X http://hdl.handle.net/10361/9529 http://doi.org/10.1117/12.2251360 en https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10126/1/Viewing-angle-enhancement-of-a-real-time-integral-imaging-system/10.1117/12.2251360.full?SSO=1 © 2017 SPIE
institution Brac University
collection Institutional Repository
language English
topic Depth and color information
GPU parallel processing
Integral imaging
Multi-directional elemental image sets
Real-time
spellingShingle Depth and color information
GPU parallel processing
Integral imaging
Multi-directional elemental image sets
Real-time
Alam, Md Ashraful
Islam, Md Sifatul
Tareque, Mohd Zishan
Subhani, Mahfuze
Rafi, Mohammad Rashidur Rahman
Alam, Md Ashraful
Kim, Nam
Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing
description This conference paper was published in the Proceedings of SPIE - The International Society for Optical Engineering[ © 2017 SPIE] and the definite version is available at : http://doi.org/10.1117/12.2251360 The Journal's website is at: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10126/1/Viewing-angle-enhancement-of-a-real-time-integral-imaging-system/10.1117/12.2251360.full?SSO=1
author2 Department of Computer Science and Engineering, BRAC University
author_facet Department of Computer Science and Engineering, BRAC University
Alam, Md Ashraful
Islam, Md Sifatul
Tareque, Mohd Zishan
Subhani, Mahfuze
Rafi, Mohammad Rashidur Rahman
Alam, Md Ashraful
Kim, Nam
format Conference paper
author Alam, Md Ashraful
Islam, Md Sifatul
Tareque, Mohd Zishan
Subhani, Mahfuze
Rafi, Mohammad Rashidur Rahman
Alam, Md Ashraful
Kim, Nam
author_sort Alam, Md Ashraful
title Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing
title_short Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing
title_full Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing
title_fullStr Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing
title_full_unstemmed Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing
title_sort viewing angle enhancement of a real-time integral imaging system using multi-directional projections and gpu parallel processing
publisher © 2017 SPIE
publishDate 2018
url http://hdl.handle.net/10361/9529
http://doi.org/10.1117/12.2251360
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AT tarequemohdzishan viewingangleenhancementofarealtimeintegralimagingsystemusingmultidirectionalprojectionsandgpuparallelprocessing
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