000230115 001__ 230115
000230115 005__ 20190326153657.0
000230115 0247_ $$a10.1109/MMSP.2017.8122237
000230115 020__ $$a978-1-5090-3649-3
000230115 0247_ $$2doi
000230115 037__ $$aCONF
000230115 245__ $$aTowards subjective quality assessment of point cloud imaging in augmented reality
000230115 269__ $$a2017
000230115 260__ $$c2017
000230115 300__ $$a6
000230115 336__ $$aConference Papers
000230115 500__ $$aInvited Paper
000230115 520__ $$aRecently, there has been an increased interest in capture, processing and rendering of visual content in form of point clouds. Among other challenges, subjective and objective quality evaluation of point clouds are still open problems. Most proposed subjective quality assessment methodologies are variants or extensions of counter parts from conventional approaches such as those proposed in various ITU-R and ITU-T recommendations. A key issue with point cloud content is that of rendering and display devices which are radically different from those in other modalities in addition to novel applications which depart from traditional display devices. In this paper, we propose a radically different approach to point cloud subjective quality assessment for point cloud by making use of augmented reality head mounted displays. Beside description of the approach, we show examples of implementation of the proposed methodology and draw conclusions regarding its advantages and drawbacks. Finally, the proposed approach is used in assessing the performance of a number of widely used objective metrics to compute quality of point cloud content when they undergo various types of distortions such as corruption by noise, simplification and compression.
000230115 6531_ $$apoint cloud
000230115 6531_ $$aaugmented reality
000230115 6531_ $$aquality assessment
000230115 6531_ $$aquality metrics
000230115 700__ $$g274471$$aAlexiou, Evangelos$$0250078
000230115 700__ $$g241533$$aUpenik, Evgeniy$$0248857
000230115 700__ $$g105043$$aEbrahimi, Touradj$$0240223
000230115 7112_ $$dOctober 16-18, 2017$$a19th International Workshop on Multimedia Signal Processing (MMSP)$$cLuton Bedfordshire, United Kingdom
000230115 773__ $$t2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
000230115 8564_ $$uhttps://infoscience.epfl.ch/record/230115/files/2017-MMSP-final.pdf$$s779631
000230115 8564_ $$uhttps://infoscience.epfl.ch/record/230115/files/2017-MMSP-final.pdf?subformat=pdfa$$s2074286$$xpdfa
000230115 8560_ $$fevangelos.alexiou@epfl.ch
000230115 909C0 $$0252077$$pMMSPL
000230115 909CO $$pSTI$$ooai:infoscience.tind.io:230115$$qGLOBAL_SET$$pconf
000230115 917Z8 $$x274471
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000230115 917Z8 $$x274471
000230115 917Z8 $$x274471
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000230115 937__ $$aEPFL-CONF-230115
000230115 973__ $$rREVIEWED$$aEPFL
000230115 980__ $$aCONF