{"id":"https://openalex.org/W4386825615","doi":"https://doi.org/10.1109/tbc.2023.3311339","title":"MFE-Net: A Multi-Layer Feature Extraction Network for No-Reference Quality Assessment of 3-D Point Clouds","display_name":"MFE-Net: A Multi-Layer Feature Extraction Network for No-Reference Quality Assessment of 3-D Point Clouds","publication_year":2023,"publication_date":"2023-09-18","ids":{"openalex":"https://openalex.org/W4386825615","doi":"https://doi.org/10.1109/tbc.2023.3311339"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2023.3311339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2023.3311339","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-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/A5061702317","display_name":"Qihao Liang","orcid":"https://orcid.org/0000-0002-3866-6081"},"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":"Qihao Liang","raw_affiliation_strings":["College of Science and Technology, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Technology, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","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":["College of Science and Technology, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-6595-142X","affiliations":[{"raw_affiliation_string":"College of Science and Technology, 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"],"raw_orcid":"https://orcid.org/0000-0003-3583-1587","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/A5060792504","display_name":"Ting Luo","orcid":null},"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":"Ting Luo","raw_affiliation_strings":["College of Science and Technology, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-1762-148X","affiliations":[{"raw_affiliation_string":"College of Science and Technology, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030642173","display_name":"Haiyong Xu","orcid":"https://orcid.org/0000-0003-1590-6799"},"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":"Haiyong Xu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-1590-6799","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":5,"corresponding_author_ids":["https://openalex.org/A5061702317"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":4.5552,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96069968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"70","issue":"1","first_page":"265","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9937000274658203,"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":0.9937000274658203,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.972599983215332,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7922012805938721},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7867308855056763},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7126758098602295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6381967067718506},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5762509107589722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49860644340515137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44112277030944824},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42085573077201843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3267890214920044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922012805938721},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7867308855056763},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7126758098602295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6381967067718506},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5762509107589722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49860644340515137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44112277030944824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42085573077201843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3267890214920044},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbc.2023.3311339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2023.3311339","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1553331866","display_name":null,"funder_award_id":"62971247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3854399266","display_name":null,"funder_award_id":"LQ23F010011","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4672231276","display_name":null,"funder_award_id":"2022J136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G475556347","display_name":null,"funder_award_id":"Y202248989","funder_id":"https://openalex.org/F4320325436","funder_display_name":"Department of Education of Zhejiang Province"},{"id":"https://openalex.org/G5916484069","display_name":null,"funder_award_id":"62171243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6359307733","display_name":null,"funder_award_id":"LY22F020020","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G830001515","display_name":null,"funder_award_id":"ZJ2022130","funder_id":"https://openalex.org/F4320317779","funder_display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation"},{"id":"https://openalex.org/G8599138432","display_name":null,"funder_award_id":"2021J134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320317779","display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325436","display_name":"Department of Education of Zhejiang Province","ror":"https://ror.org/05gj07w56"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1964859077","https://openalex.org/W2026519996","https://openalex.org/W2087309216","https://openalex.org/W2194775991","https://openalex.org/W2617605942","https://openalex.org/W2618530766","https://openalex.org/W2663021357","https://openalex.org/W2793293836","https://openalex.org/W2890979795","https://openalex.org/W2893723229","https://openalex.org/W2905544027","https://openalex.org/W2919234133","https://openalex.org/W2954893658","https://openalex.org/W2996973935","https://openalex.org/W2997327074","https://openalex.org/W2999440435","https://openalex.org/W3015751022","https://openalex.org/W3016718200","https://openalex.org/W3032119513","https://openalex.org/W3034584726","https://openalex.org/W3037318357","https://openalex.org/W3037320139","https://openalex.org/W3043557276","https://openalex.org/W3094394107","https://openalex.org/W3094897602","https://openalex.org/W3109895324","https://openalex.org/W3114811247","https://openalex.org/W3133938317","https://openalex.org/W3150961152","https://openalex.org/W3167610791","https://openalex.org/W3172963178","https://openalex.org/W3174069367","https://openalex.org/W3179982748","https://openalex.org/W3183144290","https://openalex.org/W3193364680","https://openalex.org/W3216006369","https://openalex.org/W4200634525","https://openalex.org/W4210550122","https://openalex.org/W4230540095","https://openalex.org/W4321488303","https://openalex.org/W6637373629","https://openalex.org/W6739483711","https://openalex.org/W6739778489","https://openalex.org/W6791331462","https://openalex.org/W6799036228"],"related_works":["https://openalex.org/W2979718872","https://openalex.org/W3158534694","https://openalex.org/W1504288058","https://openalex.org/W2331674254","https://openalex.org/W4290774832","https://openalex.org/W3206828132","https://openalex.org/W2811390910","https://openalex.org/W2167293474","https://openalex.org/W2146076056","https://openalex.org/W2546942002"],"abstract_inverted_index":{"As":[0],"an":[1,153],"important":[2],"data":[3],"form,":[4],"the":[5,23,68,108,111,138,157,160,170,174,177,194,199,208,214,225,228],"point":[6],"cloud":[7],"(PC)":[8],"can":[9,184,202],"present":[10],"real-world":[11],"objects":[12],"in":[13,82,137,207],"a":[14,36,43,72,116],"3D":[15],"and":[16,28,99,125,128,166,198,221],"realistic":[17],"way.":[18],"In":[19],"order":[20],"to":[21,34,57,172,192,233],"measure":[22],"performance":[24,226],"of":[25,45,88,110,132,149,169,179,227],"acquisition,":[26],"processing,":[27],"compression":[29],"systems,":[30],"it":[31,53],"is":[32,54,80,86,107,231],"crucial":[33],"propose":[35],"PC":[37,175],"quality":[38,95,101,196,201],"assessment":[39],"(PCQA)":[40],"method.":[41],"Nowadays,":[42],"lot":[44],"full-reference":[46],"PCQA":[47,65,74,235],"methods":[48],"have":[49,58],"been":[50],"developed,":[51],"but":[52],"obviously":[55],"difficult":[56],"wide":[59],"applications.":[60],"Usually,":[61],"we":[62],"should":[63],"complete":[64],"tasks":[66],"without":[67],"original":[69],"PC,":[70],"so":[71],"no-reference":[73],"method":[75,230],"based":[76,187],"on":[77,188,213],"deep":[78,182],"learning":[79],"proposed":[81,229],"this":[83],"paper,":[84],"which":[85],"consisting":[87],"adaptive":[89,154],"feature":[90,117,122],"extraction":[91,123],"(AFE)":[92],"module,":[93,98,127,140],"local":[94,146,195],"acquisition":[96,102],"(LQA)":[97],"global":[100,200],"(GQA)":[103],"module.":[104,210],"Specifically,":[105],"MFE-Net":[106],"core":[109],"LQA":[112],"module":[113,124],"that":[114,224],"combines":[115],"fusion":[118],"mechanism":[119],"with":[120],"hierarchical":[121,134],"regression":[126],"makes":[129],"full":[130],"use":[131],"different":[133],"features.":[135],"Besides,":[136],"AFE":[139],"hand-crafted":[141,190],"features":[142,183,191],"are":[143],"extracted":[144],"from":[145,159],"sampling":[147,161],"clusters":[148],"distorted":[150],"PCs":[151],"by":[152],"approach,":[155],"including":[156],"distance":[158],"center":[162],"point,":[163,171],"mean":[164],"curvature,":[165],"gray":[167],"level":[168],"replace":[173],"as":[176],"input":[178],"MFE-Net.":[180],"Afterward,":[181],"be":[185,203],"learned":[186],"such":[189],"predict":[193],"score,":[197],"obtained":[204],"through":[205],"aggregation":[206],"GQA":[209],"Experimental":[211],"results":[212],"two":[215],"publicly":[216],"available":[217],"subjective":[218],"datasets,":[219],"SJTU-PCQA":[220],"CPCD2.0":[222],"show":[223],"superior":[232],"state-of-the-art":[234],"methods.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}