{"id":"https://openalex.org/W4405754842","doi":"https://doi.org/10.1109/tmm.2024.3521674","title":"3D Shape Segmentation With Potential Consistency Mining and Enhancement","display_name":"3D Shape Segmentation With Potential Consistency Mining and Enhancement","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405754842","doi":"https://doi.org/10.1109/tmm.2024.3521674"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521674","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5002359200","display_name":"Zhenyu Shu","orcid":"https://orcid.org/0000-0001-5733-6638"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Shu","raw_affiliation_strings":["School of Computer and Data Engineering, NingboTech University, Ningbo, China","School of Computer and Data Engineering, NingboTech University, Ningbo, PR China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]},{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, PR China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090166559","display_name":"Shiyang Li","orcid":"https://orcid.org/0000-0003-3865-2197"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyang Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Hangzhou, PR China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Hangzhou, PR China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062030077","display_name":"Shiqing Xin","orcid":"https://orcid.org/0000-0001-8452-8723"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqing Xin","raw_affiliation_strings":["School of Computer Science and Technology, ShanDong University, Jinan, China","School of Computer Science and Technology, ShanDong University, Jinan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, ShanDong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"School of Computer Science and Technology, ShanDong University, Jinan, PR China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108196895","display_name":"Ligang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ligang Liu","raw_affiliation_strings":["Graphics & Geometric Computing Laboratory, School of Mathematical Sciences, University of Science and Technology of China, Anhui, China","Graphics & Geometric Computing Laboratory, School of Mathematical Sciences, University of Science and Technology of China, Anhui, PR China"],"affiliations":[{"raw_affiliation_string":"Graphics & Geometric Computing Laboratory, School of Mathematical Sciences, University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Graphics & Geometric Computing Laboratory, School of Mathematical Sciences, University of Science and Technology of China, Anhui, PR China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002359200"],"corresponding_institution_ids":["https://openalex.org/I159389169"],"apc_list":null,"apc_paid":null,"fwci":1.0541,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79417405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"133","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9740999937057495,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9740999937057495,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9714000225067139,"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":0.9682000279426575,"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/computer-science","display_name":"Computer science","score":0.7569898366928101},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.581342339515686},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5499352216720581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4571525752544403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42836394906044006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34649550914764404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569898366928101},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.581342339515686},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5499352216720581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4571525752544403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42836394906044006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34649550914764404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521674","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1519402791","https://openalex.org/W1590889181","https://openalex.org/W1976638067","https://openalex.org/W1989540182","https://openalex.org/W1991279900","https://openalex.org/W2003940193","https://openalex.org/W2007206727","https://openalex.org/W2022922662","https://openalex.org/W2027069615","https://openalex.org/W2028950582","https://openalex.org/W2031760064","https://openalex.org/W2040424843","https://openalex.org/W2041306713","https://openalex.org/W2050204708","https://openalex.org/W2057175746","https://openalex.org/W2076374635","https://openalex.org/W2091791686","https://openalex.org/W2099921828","https://openalex.org/W2106723645","https://openalex.org/W2114111978","https://openalex.org/W2117564239","https://openalex.org/W2143516773","https://openalex.org/W2166987050","https://openalex.org/W2168628849","https://openalex.org/W2202770087","https://openalex.org/W2254644702","https://openalex.org/W2277007198","https://openalex.org/W2565662353","https://openalex.org/W2591999710","https://openalex.org/W2617090676","https://openalex.org/W2626045175","https://openalex.org/W2737081152","https://openalex.org/W2780485466","https://openalex.org/W2792532094","https://openalex.org/W2891396148","https://openalex.org/W2908908689","https://openalex.org/W2918473435","https://openalex.org/W2963991385","https://openalex.org/W2999893964","https://openalex.org/W3035386024","https://openalex.org/W3093998947","https://openalex.org/W3109462203","https://openalex.org/W3111535274","https://openalex.org/W3159746229","https://openalex.org/W3159926201","https://openalex.org/W3170953943","https://openalex.org/W3179709349","https://openalex.org/W4214621635","https://openalex.org/W4251944521","https://openalex.org/W4312270164","https://openalex.org/W4312270234","https://openalex.org/W4321607996","https://openalex.org/W4380079737","https://openalex.org/W6687484953"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W4304185162","https://openalex.org/W4379231730","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W1770503332","https://openalex.org/W3125207769","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"3D":[0,36,68,86],"shape":[1],"segmentation":[2,49,58],"is":[3,77],"a":[4,20,56,109],"crucial":[5],"task":[6],"in":[7,22,153],"the":[8,42,64,80,91,99,103],"field":[9],"of":[10,35,67,85,112,129],"multimedia":[11],"analysis":[12],"and":[13,15,38,62,88,117,126,149],"processing,":[14],"recent":[16],"years":[17],"have":[18],"seen":[19],"surge":[21],"research":[23],"on":[24,143],"this":[25,52,72],"topic.":[26],"However,":[27],"many":[28],"existing":[29,158],"methods":[30],"only":[31],"consider":[32],"geometric":[33],"features":[34,101],"shapes":[37,69,87],"fail":[39],"to":[40,70,78,89,96,115],"explore":[41],"potential":[43,65],"connections":[44],"between":[45,82],"faces,":[46],"limiting":[47],"their":[48],"performance.":[50],"In":[51],"paper,":[53],"we":[54],"propose":[55],"novel":[57],"approach":[59,142],"that":[60],"mines":[61],"enhances":[63],"consistency":[66,81,93,100],"overcome":[71],"limitation.":[73],"The":[74],"key":[75],"idea":[76],"mine":[79,116],"different":[83],"partitions":[84],"use":[90],"unique":[92],"enhancement":[94],"strategy":[95],"continuously":[97],"optimize":[98],"for":[102],"network.":[104],"Our":[105],"method":[106],"also":[107],"includes":[108],"comprehensive":[110],"set":[111],"network":[113],"structures":[114],"enhance":[118],"consistent":[119],"features,":[120],"enabling":[121],"more":[122],"effective":[123],"feature":[124],"extraction":[125],"better":[127],"utilization":[128],"contextual":[130],"information":[131],"around":[132],"each":[133],"face":[134],"when":[135],"processing":[136],"complex":[137],"shapes.":[138],"We":[139],"evaluate":[140],"our":[141],"public":[144],"benchmarks":[145],"through":[146],"extensive":[147],"experiments":[148],"demonstrate":[150],"its":[151],"effectiveness":[152],"achieving":[154],"higher":[155],"accuracy":[156],"than":[157],"methods.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}