Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | |
Format: | Article |
Language: | eng |
Source: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Download full: | http://hdl.handle.net/10316/101328 https://doi.org/10.3390/sym12121955 |
Summary: | This paper presents a summary of recent progress in compression, subjective assessment and objective quality measures of point cloud representations of three dimensional visual information. Different existing point cloud datasets, as well as discusses the protocols that have been proposed to evaluate the subjective quality of point cloud data. Several geometry and attribute point cloud data objective quality measures are also presented and described. A case study on the evaluation of subjective quality of point clouds in two laboratories is presented. Six original point clouds degraded with G-PCC and V-PCC point cloud compression and five degradation levels were subjectively evaluated, showing high inter-laboratory correlation. Furthermore, performance of several geometry-based objective quality measures applied to the same data are described, concluding that the highest correlation with subjective scores is obtained using point-to-plane measures. Finally, several current challenges and future research directions on point clouds compression and quality evaluation are discussed. |
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Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Studypoint cloudobjective point cloud measuresG-PCC; V-PCCJPEG PlenoThis paper presents a summary of recent progress in compression, subjective assessment and objective quality measures of point cloud representations of three dimensional visual information. Different existing point cloud datasets, as well as discusses the protocols that have been proposed to evaluate the subjective quality of point cloud data. Several geometry and attribute point cloud data objective quality measures are also presented and described. A case study on the evaluation of subjective quality of point clouds in two laboratories is presented. Six original point clouds degraded with G-PCC and V-PCC point cloud compression and five degradation levels were subjectively evaluated, showing high inter-laboratory correlation. Furthermore, performance of several geometry-based objective quality measures applied to the same data are described, concluding that the highest correlation with subjective scores is obtained using point-to-plane measures. Finally, several current challenges and future research directions on point clouds compression and quality evaluation are discussed.2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/101328http://hdl.handle.net/10316/101328https://doi.org/10.3390/sym12121955eng2073-8994Dumic, EmilCruz, Luís A. da Silvainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-08-23T20:39:24Zoai:estudogeral.uc.pt:10316/101328Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:32.669121Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
title |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
spellingShingle |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study Dumic, Emil point cloud objective point cloud measures G-PCC; V-PCC JPEG Pleno |
title_short |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
title_full |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
title_fullStr |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
title_full_unstemmed |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
title_sort |
Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study |
author |
Dumic, Emil |
author_facet |
Dumic, Emil Cruz, Luís A. da Silva |
author_role |
author |
author2 |
Cruz, Luís A. da Silva |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Dumic, Emil Cruz, Luís A. da Silva |
dc.subject.por.fl_str_mv |
point cloud objective point cloud measures G-PCC; V-PCC JPEG Pleno |
topic |
point cloud objective point cloud measures G-PCC; V-PCC JPEG Pleno |
description |
This paper presents a summary of recent progress in compression, subjective assessment and objective quality measures of point cloud representations of three dimensional visual information. Different existing point cloud datasets, as well as discusses the protocols that have been proposed to evaluate the subjective quality of point cloud data. Several geometry and attribute point cloud data objective quality measures are also presented and described. A case study on the evaluation of subjective quality of point clouds in two laboratories is presented. Six original point clouds degraded with G-PCC and V-PCC point cloud compression and five degradation levels were subjectively evaluated, showing high inter-laboratory correlation. Furthermore, performance of several geometry-based objective quality measures applied to the same data are described, concluding that the highest correlation with subjective scores is obtained using point-to-plane measures. Finally, several current challenges and future research directions on point clouds compression and quality evaluation are discussed. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/101328 http://hdl.handle.net/10316/101328 https://doi.org/10.3390/sym12121955 |
url |
http://hdl.handle.net/10316/101328 https://doi.org/10.3390/sym12121955 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2073-8994 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134079783796736 |