DocumentCode :
672592
Title :
Multi-Level View Synthesis (MLVS) based on Depth Image Layer Separation (DILS) algorithm for multi-camera view system
Author :
Manap, N.A. ; Soraghan, John J. ; Petropoulakis, Lykourgos
Author_Institution :
Fac. of Electron. & Comput. Eng., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
fYear :
2013
fDate :
8-10 Oct. 2013
Firstpage :
71
Lastpage :
76
Abstract :
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.
Keywords :
calibration; computer vision; image matching; image resolution; image sensors; interpolation; stereo image processing; video signal processing; 3D vision applications; DILS; MLVS; bandwidth requirements; calibration requirements; depth image layer separation algorithm; free-viewpoint video acquisition; image acquisition cameras; interview interpolation algorithm; light field imaging; matching process; multicamera view system; multilevel view synthesis; multiple camera configurations; pixel correspondences; stereo vision; storage requirements; synthesis process; Arrays; Cameras; Conferences; Electronics packaging; Image processing; Interpolation; PSNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4799-0267-5
Type :
conf
DOI :
10.1109/ICSIPA.2013.6707980
Filename :
6707980
Link To Document :
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