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Point cloud subjective evaluation methodology based on reconstructed surfaces (CROSBI ID 665246)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Alexiou, Evangelos ; Pinheiro, Antonio M. G. ; Duarte, Carlos ; Matkovic, Dragan ; Dumic, Emil ; da Silva Cruz, Luis A. ; Gotal Dmitrovic, Lovorka ; Bernardo, Marco V. ; Pereira, Manuela ; Ebrahimi, Touradj Point cloud subjective evaluation methodology based on reconstructed surfaces // SPIE Optical Engineering + Applications / Tescher, Andrew G. (ur.). 2018. str. 1-14 doi: 10.1117/12.2321518

Podaci o odgovornosti

Alexiou, Evangelos ; Pinheiro, Antonio M. G. ; Duarte, Carlos ; Matkovic, Dragan ; Dumic, Emil ; da Silva Cruz, Luis A. ; Gotal Dmitrovic, Lovorka ; Bernardo, Marco V. ; Pereira, Manuela ; Ebrahimi, Touradj

engleski

Point cloud subjective evaluation methodology based on reconstructed surfaces

Point clouds have been gaining importance as a solution to the problem of efficient representation of 3D geometric and visual information. They are commonly represented by large amounts of data, and compression schemes are important for their manipulation transmission and storing. However, the selection of appropriate compression schemes requires effective quality evaluation. In this work a subjective quality evaluation of point clouds using a surface representation is analyzed. Using a set of point cloud data objects encoded with the popular octree pruning method with different qualities, a subjective evaluation was designed. The point cloud geometry was presented to observers in the form of a movie showing the 3D Poisson reconstructed surface without textural information with the point of view changing in time. Subjective evaluations were performed in three different laboratories. Scores obtained from each test were correlated and no statistical differences were observed. Scores were also correlated with previous subjective tests and a good correlation was obtained when compared with mesh rendering in 2D monitors. Moreover, the results were correlated with state of the art point cloud objective metrics revealing poor correlation. Likewise, the correlation with a subjective test using a different representation of the point cloud data also showed poor correlation. These results suggest the need for more reliable objective quality metrics and further studies on adequate point cloud data representations.

Subjective Quality Assessment, Point Cloud, Quality Metrics

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Podaci o prilogu

1-14.

2018.

objavljeno

10.1117/12.2321518

Podaci o matičnoj publikaciji

SPIE Optical Engineering + Applications

Tescher, Andrew G.

9781510620759

Podaci o skupu

Applications of Digital Image Processing XLI

predavanje

19.08.2018-23.08.2018

San Diego (CA), Sjedinjene Američke Države

Povezanost rada

Elektrotehnika, Informacijske i komunikacijske znanosti, Računarstvo

Poveznice
Indeksiranost