{"id":"https://openalex.org/W3202211958","doi":"https://doi.org/10.1109/bmsb53066.2021.9547070","title":"BQE-CVP: Blind Quality Evaluator for Colored Point Cloud Based on Visual Perception","display_name":"BQE-CVP: Blind Quality Evaluator for Colored Point Cloud Based on Visual Perception","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3202211958","doi":"https://doi.org/10.1109/bmsb53066.2021.9547070","mag":"3202211958"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb53066.2021.9547070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5101438573","display_name":"Lei Hua","orcid":"https://orcid.org/0000-0002-5132-7615"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Hua","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073572452","display_name":"Gangyi Jiang","orcid":"https://orcid.org/0000-0003-4896-9876"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyi Jiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091433252","display_name":"Mei Yu","orcid":"https://orcid.org/0000-0003-3583-1587"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Yu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029507095","display_name":"Zhouyan He","orcid":"https://orcid.org/0000-0001-6595-142X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouyan He","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101438573"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":1.4516,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.84298513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9797000288963318,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9797000288963318,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9779000282287598,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9767000079154968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6730185747146606},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6704814434051514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6669750213623047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662622690200806},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6594768762588501},{"id":"https://openalex.org/keywords/visual-masking","display_name":"Visual masking","score":0.6507813930511475},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6002506017684937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.592129111289978},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.5373486876487732},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5278114080429077},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4927230179309845},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4529536962509155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4354490041732788},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.26061952114105225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24781087040901184},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.2376704216003418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10969141125679016}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6730185747146606},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6704814434051514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6669750213623047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662622690200806},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6594768762588501},{"id":"https://openalex.org/C2779200073","wikidata":"https://www.wikidata.org/wiki/Q18395575","display_name":"Visual masking","level":4,"score":0.6507813930511475},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6002506017684937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.592129111289978},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.5373486876487732},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5278114080429077},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4927230179309845},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4529536962509155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4354490041732788},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.26061952114105225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24781087040901184},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2376704216003418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10969141125679016},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb53066.2021.9547070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4161204640","display_name":null,"funder_award_id":"62071266,61871247,61931022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5674109446","display_name":null,"funder_award_id":"202003N4088","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1607233498","https://openalex.org/W1968613884","https://openalex.org/W2046119925","https://openalex.org/W2071795107","https://openalex.org/W2073459066","https://openalex.org/W2114415799","https://openalex.org/W2133665775","https://openalex.org/W2793293836","https://openalex.org/W2890979795","https://openalex.org/W2893723229","https://openalex.org/W2951315025","https://openalex.org/W2954893658","https://openalex.org/W2964387279","https://openalex.org/W2970302264","https://openalex.org/W3000679672","https://openalex.org/W3013177219","https://openalex.org/W3015751022","https://openalex.org/W3094394107","https://openalex.org/W3150961152","https://openalex.org/W6668990524"],"related_works":["https://openalex.org/W1485212156","https://openalex.org/W1650385383","https://openalex.org/W2095564650","https://openalex.org/W2151541397","https://openalex.org/W2084834549","https://openalex.org/W1981033655","https://openalex.org/W2126500830","https://openalex.org/W607767332","https://openalex.org/W2032638424","https://openalex.org/W4235527717"],"abstract_inverted_index":{"The":[0],"current":[1],"researches":[2],"on":[3,10,37,167],"3D":[4,123],"point":[5],"cloud":[6],"quality":[7,18,74,162],"evaluation":[8,19],"focus":[9],"the":[11,16,45,66,77,89,97,102,105,113,122,128,132,140,143,150,161,176],"full":[12],"reference":[13],"methods,":[14],"but":[15],"blind":[17],"has":[20],"more":[21],"advantages":[22],"in":[23,72,121],"actual":[24],"applications.":[25],"Therefore,":[26],"a":[27,80,156],"Blind":[28],"Quality":[29],"Evaluator":[30],"for":[31],"Colored":[32],"Point":[33],"Cloud":[34],"(CPC)":[35],"based":[36],"Visual":[38],"Perception":[39],"(BQE-CVP)":[40],"is":[41,54,85,99,119,137,179],"proposed.":[42],"Firstly,":[43],"considering":[44,88],"visual":[46,69,90,107],"masking":[47,70,91],"effect":[48,71,92],"of":[49,68,93,135,142,163],"CPC's":[50,94,114],"geometric":[51,81,144],"information,":[52,96],"CPC":[53,73,98,136],"segmented":[55],"into":[56],"different":[57,62],"regions":[58],"and":[59,104,145,172],"distributed":[60],"with":[61],"weights":[63],"to":[64,101,125,159],"describe":[65],"influence":[67],"assessment.":[75],"At":[76],"same":[78],"time,":[79],"combination":[82,116],"feature":[83,117,134,157],"vector":[84,118,158],"defined.":[86],"Secondly,":[87],"color":[95,115,129,146],"projected":[100],"plane":[103],"corresponding":[106],"perception":[108],"features":[109,152],"are":[110,153],"extracted.":[111],"Then,":[112],"extracted":[120,138,151],"domain":[124],"better":[126,180],"reflect":[127],"distortion.":[130],"Thirdly,":[131],"joint":[133],"as":[139,155],"supplement":[141],"features.":[147],"Finally,":[148],"all":[149],"constituted":[154],"predict":[160],"CPC.":[164],"Experimental":[165],"results":[166],"three":[168],"databases":[169],"(CPCD2.0,":[170],"IRPC":[171],"SJTU-PCQA)":[173],"show":[174],"that":[175],"proposed":[177],"metric":[178],"than":[181],"relevant":[182],"existing":[183],"methods.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}