{"id":"https://openalex.org/W4406264614","doi":"https://doi.org/10.1109/euvip61797.2024.10772802","title":"Performance of Point Cloud- and Image-Based Quality Metrics on Geometry-Only Point Clouds and Textured Point Clouds","display_name":"Performance of Point Cloud- and Image-Based Quality Metrics on Geometry-Only Point Clouds and Textured Point Clouds","publication_year":2024,"publication_date":"2024-09-08","ids":{"openalex":"https://openalex.org/W4406264614","doi":"https://doi.org/10.1109/euvip61797.2024.10772802"},"language":"en","primary_location":{"id":"doi:10.1109/euvip61797.2024.10772802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip61797.2024.10772802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020321560","display_name":"M Wien","orcid":"https://orcid.org/0000-0002-8724-2752"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mathias Wien","raw_affiliation_strings":["Institute for Imaging and Computer Vision, RWTH Aachen University,Aachen,Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Imaging and Computer Vision, RWTH Aachen University,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037403050","display_name":"Jo\u00ebl Jung","orcid":"https://orcid.org/0000-0002-3878-6454"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Jung","raw_affiliation_strings":["Tencent Media Lab,Palo Alto,CA,USA"],"affiliations":[{"raw_affiliation_string":"Tencent Media Lab,Palo Alto,CA,USA","institution_ids":["https://openalex.org/I70745867"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020321560"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27395574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8823369145393372},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6629042625427246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.505549430847168},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.4879164397716522},{"id":"https://openalex.org/keywords/computational-geometry","display_name":"Computational geometry","score":0.4343099296092987},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4154059588909149},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3953637480735779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37988802790641785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26383012533187866}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8823369145393372},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6629042625427246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505549430847168},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.4879164397716522},{"id":"https://openalex.org/C29123130","wikidata":"https://www.wikidata.org/wiki/Q874709","display_name":"Computational geometry","level":2,"score":0.4343099296092987},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4154059588909149},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3953637480735779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37988802790641785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26383012533187866}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip61797.2024.10772802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip61797.2024.10772802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W2740851372","https://openalex.org/W2165852999","https://openalex.org/W2154461127","https://openalex.org/W598462635","https://openalex.org/W137454273"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,37],"analysis":[4,76],"of":[5,8,24,44,80,85,96,129,151,162],"the":[6,45,78,86,89,93,97,123,126,141,152,159],"performance":[7],"point":[9,17,46,119,131],"cloud-based":[10],"and":[11,27,73,92,155,158],"image-based":[12,111],"quality":[13,22,32],"metrics":[14,87,112,157],"on":[15,20,77,122],"dynamic":[16,66],"clouds,":[18],"based":[19],"subjective":[21,31,94,124,160],"assessment":[23,33,95,128],"their":[25],"geometry-only":[26,63,98,130],"textured":[28,118,142],"versions.":[29],"The":[30,68,83,102],"was":[34],"conducted":[35],"as":[36,108,110],"expert":[38],"viewing":[39],"with":[40,65],"2D":[41],"video":[42],"representations":[43],"clouds":[47,132],"using":[48],"pre-defined":[49],"camera":[50],"paths":[51],"for":[52,88,117,140],"rendering.":[53],"It":[54],"is":[55,133],"considered":[56],"to":[57,135],"be":[58,136],"a":[59,74,147],"first-time":[60],"experiment":[61],"assessing":[62],"rendering":[64],"point-clouds.":[67],"study":[69],"includes":[70],"correlation":[71],"measures":[72],"statistical":[75],"reliability":[79],"objective":[81,127],"metrics.":[82],"suitability":[84],"evaluation":[90],"task":[91],"case":[99],"are":[100],"discussed.":[101],"results":[103,116,150],"indicate":[104],"that":[105],"geometry-based":[106,153],"PSNRY":[107],"well":[109],"can":[113],"provide":[114],"reliable":[115,138],"clouds.":[120],"Based":[121],"results,":[125],"found":[134],"less":[137],"than":[139],"ones.":[143],"Other":[144],"findings":[145],"report":[146],"divergence":[148],"between":[149],"D1":[154],"D2":[156],"impact":[161],"geometry":[163],"errors.":[164]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}