Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system

A novel Multi-Level View Synthesis (MLVS) approach for 3D vision and free-viewpoint video applications, such as light field imaging, is presented. MLVS exploits the advantages of Depth Image Layer Separation (DILS), a new inter-view interpolation algorithm, by extending stereo to multiple camera con...

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Main Authors: Abd Manap, Nurulfajar, Soraghan, John J., Petropoulakis, Lykorgous
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/10869/1/stamp.jsp%3Ftp%3D%26arnumber%3D6707980%26tag%3D1
http://eprints.utem.edu.my/id/eprint/10869/
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
id my.utem.eprints.10869
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spelling my.utem.eprints.108692015-05-28T04:13:52Z http://eprints.utem.edu.my/id/eprint/10869/ Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system Abd Manap, Nurulfajar Soraghan, John J. Petropoulakis, Lykorgous TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science A novel Multi-Level View Synthesis (MLVS) approach for 3D vision and free-viewpoint video applications, such as light field imaging, is presented. MLVS exploits the advantages of Depth Image Layer Separation (DILS), a new inter-view interpolation algorithm, by extending stereo to multiple camera configurations. The technique finds the pixel correspondences and synthesis through two levels of matching and synthesis process. The main aim of MLVS is to create a multi-camera view system through a reduced number of actual image acquisition cameras, whilst maintaining the quality of the virtual view synthesis images. The proposed technique is shown to offer improved performance and provide additional views with fewer cameras compared to conventional high volume camera configurations for free-viewpoint video acquisition. Thus, substantial cost savings can ensue in processing, calibration, bandwidth and storage requirements. 2013-10 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/10869/1/stamp.jsp%3Ftp%3D%26arnumber%3D6707980%26tag%3D1 Abd Manap, Nurulfajar and Soraghan, John J. and Petropoulakis, Lykorgous (2013) Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system. Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on . pp. 71-76. ISSN 978-1-4799-0267-5
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
Abd Manap, Nurulfajar
Soraghan, John J.
Petropoulakis, Lykorgous
Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
description A novel Multi-Level View Synthesis (MLVS) approach for 3D vision and free-viewpoint video applications, such as light field imaging, is presented. MLVS exploits the advantages of Depth Image Layer Separation (DILS), a new inter-view interpolation algorithm, by extending stereo to multiple camera configurations. The technique finds the pixel correspondences and synthesis through two levels of matching and synthesis process. The main aim of MLVS is to create a multi-camera view system through a reduced number of actual image acquisition cameras, whilst maintaining the quality of the virtual view synthesis images. The proposed technique is shown to offer improved performance and provide additional views with fewer cameras compared to conventional high volume camera configurations for free-viewpoint video acquisition. Thus, substantial cost savings can ensue in processing, calibration, bandwidth and storage requirements.
format Article
author Abd Manap, Nurulfajar
Soraghan, John J.
Petropoulakis, Lykorgous
author_facet Abd Manap, Nurulfajar
Soraghan, John J.
Petropoulakis, Lykorgous
author_sort Abd Manap, Nurulfajar
title Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
title_short Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
title_full Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
title_fullStr Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
title_full_unstemmed Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
title_sort multi-level view synthesis (mlvs) based on depth image layer separation (dils) algorithm for multi-camera view system
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/10869/1/stamp.jsp%3Ftp%3D%26arnumber%3D6707980%26tag%3D1
http://eprints.utem.edu.my/id/eprint/10869/
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