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Pregled bibliografske jedinice broj: 953018

Point cloud subjective evaluation methodology based on reconstructed surfaces

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.).
San Diego (CA), Sjedinjene Američke Države, 2018. str. 1-14 doi:10.1117/12.2321518 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 953018 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Point cloud subjective evaluation methodology based on reconstructed surfaces

Autori
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

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
SPIE Optical Engineering + Applications / Tescher, Andrew G. - , 2018, 1-14

ISBN
9781510620759

Skup
Applications of Digital Image Processing XLI

Mjesto i datum
San Diego (CA), Sjedinjene Američke Države, 19.08.2018. - 23.08.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Subjective Quality Assessment, Point Cloud, Quality Metrics

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Lovorka Gotal Dmitrović (autor)

Avatar Url Dragan Matković (autor)

Avatar Url Emil Dumić (autor)

Poveznice na cjeloviti tekst rada:

doi infoscience.epfl.ch www.spiedigitallibrary.org

Citiraj ovu publikaciju:

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.).
San Diego (CA), Sjedinjene Američke Države, 2018. str. 1-14 doi:10.1117/12.2321518 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Alexiou, E., Pinheiro, A., Duarte, C., Matkovic, D., Dumic, E., da Silva Cruz, L., Gotal Dmitrovic, L., Bernardo, M., Pereira, M. & Ebrahimi, T. (2018) Point cloud subjective evaluation methodology based on reconstructed surfaces. U: Tescher, A. (ur.)SPIE Optical Engineering + Applications doi:10.1117/12.2321518.
@article{article, author = {Alexiou, Evangelos and Pinheiro, Antonio M. G. and Duarte, Carlos and Matkovic, Dragan and Dumic, Emil and da Silva Cruz, Luis A. and Gotal Dmitrovic, Lovorka and Bernardo, Marco V. and Pereira, Manuela and Ebrahimi, Touradj}, editor = {Tescher, A.}, year = {2018}, pages = {1-14}, DOI = {10.1117/12.2321518}, keywords = {Subjective Quality Assessment, Point Cloud, Quality Metrics}, doi = {10.1117/12.2321518}, isbn = {9781510620759}, title = {Point cloud subjective evaluation methodology based on reconstructed surfaces}, keyword = {Subjective Quality Assessment, Point Cloud, Quality Metrics}, publisherplace = {San Diego (CA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Alexiou, Evangelos and Pinheiro, Antonio M. G. and Duarte, Carlos and Matkovic, Dragan and Dumic, Emil and da Silva Cruz, Luis A. and Gotal Dmitrovic, Lovorka and Bernardo, Marco V. and Pereira, Manuela and Ebrahimi, Touradj}, editor = {Tescher, A.}, year = {2018}, pages = {1-14}, DOI = {10.1117/12.2321518}, keywords = {Subjective Quality Assessment, Point Cloud, Quality Metrics}, doi = {10.1117/12.2321518}, isbn = {9781510620759}, title = {Point cloud subjective evaluation methodology based on reconstructed surfaces}, keyword = {Subjective Quality Assessment, Point Cloud, Quality Metrics}, publisherplace = {San Diego (CA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }

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  • Scopus

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