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Proceedings Paper

A survey on 3D quality of experience and 3D quality assessment
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Paper Abstract

The field of algorithmically assessing the 3D quality of experience and/or 3D quality is an extremely challenging one; making it a fertile ground for research. The complexity of the problem, coupled with our yet nascent understanding of 3D perception and the increasing commercial shift toward 3D entertainment makes the area of 3D QA interesting, formidable and practically relevant. This article undertakes a brief review of the recent research in the area of 3D visual quality of experience and quality assessment. We first review literature in the field of quality of experience which encompasses geometry, visual discomfort etc., and then perform a similar review in the field of quality assessment which encompasses distortions such as blur, noise, compression etc. We describe algorithms and databases that have been proposed in the literature for these purposes. We conclude with a short description of a recent resource - the LIVE 3D IQA database that is the first quality assessment database which provides researchers with access to true depth information for each of the stereo pairs obtained from a high-precision range scanner.

Paper Details

Date Published: 14 March 2013
PDF: 11 pages
Proc. SPIE 8651, Human Vision and Electronic Imaging XVIII, 86510M (14 March 2013); doi: 10.1117/12.2008355
Show Author Affiliations
Anush K. Moorthy, Texas Instruments Inc. (United States)
Alan C. Bovik, The Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 8651:
Human Vision and Electronic Imaging XVIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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