{"id":"https://openalex.org/W4225983328","doi":"https://doi.org/10.1109/tfuzz.2022.3159099","title":"Generalized Point Set Registration With Fuzzy Correspondences Based on Variational Bayesian Inference","display_name":"Generalized Point Set Registration With Fuzzy Correspondences Based on Variational Bayesian Inference","publication_year":2022,"publication_date":"2022-03-17","ids":{"openalex":"https://openalex.org/W4225983328","doi":"https://doi.org/10.1109/tfuzz.2022.3159099"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2022.3159099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3159099","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10150632/1/Min_IEEE_Fuzzy_final_submission.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101541870","display_name":"Ang Zhang","orcid":"https://orcid.org/0000-0002-0749-5822"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ang Zhang","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0749-5822","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040071840","display_name":"Zhe Min","orcid":"https://orcid.org/0000-0002-8903-1561"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhe Min","raw_affiliation_strings":["Department of Medical Physics and Bioengineering, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8903-1561","affiliations":[{"raw_affiliation_string":"Department of Medical Physics and Bioengineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027367137","display_name":"Zhengyan Zhang","orcid":"https://orcid.org/0000-0002-4906-4481"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyan Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4906-4481","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021531143","display_name":"Max Q.\u2010H. Meng","orcid":"https://orcid.org/0000-0002-5255-5898"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Max Q.-H. Meng","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, China","Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5255-5898","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7652,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95870324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"30","issue":"6","first_page":"1529","last_page":"1540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9945999979972839,"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/outlier","display_name":"Outlier","score":0.7014085650444031},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5654531717300415},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5478248000144958},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5165551900863647},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5096409320831299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49902868270874023},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46768930554389954},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45590940117836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44620460271835327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4072733223438263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33239105343818665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2542407512664795}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7014085650444031},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5654531717300415},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5478248000144958},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5165551900863647},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5096409320831299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49902868270874023},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46768930554389954},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45590940117836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44620460271835327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4072733223438263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33239105343818665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2542407512664795},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tfuzz.2022.3159099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3159099","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10150632","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10150632/","pdf_url":"https://discovery.ucl.ac.uk/10150632/1/Min_IEEE_Fuzzy_final_submission.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Fuzzy Systems , 30 (6) pp. 1529-1540. (2022)","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10150632","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10150632/","pdf_url":"https://discovery.ucl.ac.uk/10150632/1/Min_IEEE_Fuzzy_final_submission.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Fuzzy Systems , 30 (6) pp. 1529-1540. (2022)","raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225983328.pdf","grobid_xml":"https://content.openalex.org/works/W4225983328.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W78351518","https://openalex.org/W327180933","https://openalex.org/W1570770495","https://openalex.org/W1601795611","https://openalex.org/W1645374371","https://openalex.org/W1970642064","https://openalex.org/W1994104838","https://openalex.org/W1994679038","https://openalex.org/W2049981393","https://openalex.org/W2102271206","https://openalex.org/W2114354851","https://openalex.org/W2115001439","https://openalex.org/W2124141313","https://openalex.org/W2134236847","https://openalex.org/W2145001205","https://openalex.org/W2150190641","https://openalex.org/W2157656099","https://openalex.org/W2338121015","https://openalex.org/W2344109021","https://openalex.org/W2506326391","https://openalex.org/W2594495318","https://openalex.org/W2597187707","https://openalex.org/W2736526012","https://openalex.org/W2738467687","https://openalex.org/W2942351283","https://openalex.org/W2964187290","https://openalex.org/W2970141505","https://openalex.org/W2979750740","https://openalex.org/W2981685844","https://openalex.org/W2993690044","https://openalex.org/W3005226310","https://openalex.org/W3007047912","https://openalex.org/W3047057232","https://openalex.org/W3089432818","https://openalex.org/W3092523194","https://openalex.org/W3111598592","https://openalex.org/W3112338958","https://openalex.org/W3176124701","https://openalex.org/W3198240092","https://openalex.org/W3206918971","https://openalex.org/W4235578765","https://openalex.org/W6603199352","https://openalex.org/W6636807858","https://openalex.org/W6662860747","https://openalex.org/W6682124274","https://openalex.org/W6767019538"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"Point":[0],"set":[1,53],"registration":[2,54],"(PSR)":[3],"is":[4,77,107,124,142],"an":[5],"essential":[6],"problem":[7,138],"in":[8,37,163],"surgical":[9,25,39],"navigation":[10],"and":[11,45,71,110,114,116,177],"computer-assisted":[12],"surgery":[13],"(CAS).":[14],"In":[15],"CAS,":[16],"PSR":[17,36,88,137],"can":[18],"be":[19],"used":[20],"to":[21,43,112,172],"map":[22],"the":[23,28,57,61,66,72,75,80,87,94,101,117,121,147,155,158,174,183],"intraoperative":[24],"space":[26],"with":[27,89,139],"preoperative":[29],"volumetric":[30],"image":[31],"space.":[32],"The":[33,104,136,151],"performances":[34],"of":[35,74,120,128],"real-world":[38],"scenarios":[40],"are":[41,69,131,161],"sensitive":[42],"noise":[44,113],"outliers.":[46],"This":[47],"article":[48,130],"proposes":[49],"a":[50],"novel":[51],"point":[52,67,97],"approach":[55,123,176],"where":[56],"additional":[58],"features":[59],"(i.e.,":[60],"normal":[62,90,140],"vectors)":[63],"extracted":[64],"from":[65,79],"sets":[68],"utilized":[70],"convergence":[73,119],"algorithm":[76,106],"guaranteed":[78],"theoretical":[81,118],"perspective.":[82],"More":[83],"specifically,":[84],"we":[85],"formulate":[86],"vectors":[91,141],"by":[92],"generalizing":[93,146],"Bayesian":[95],"coherent":[96],"drift":[98],"(BCPD)":[99],"into":[100],"6-D":[102],"scenario.":[103],"proposed":[105,122,175],"more":[108],"accurate":[109],"robust":[111],"outliers,":[115],"guaranteed.":[125],"Our":[126],"contributions":[127],"this":[129],"summarized":[132],"as":[133],"follows.":[134],"1)":[135],"formally":[143],"formulated":[144],"through":[145],"BCPD":[148,184],"approach.":[149],"2)":[150],"formulas":[152],"for":[153],"updating":[154],"parameters":[156],"during":[157],"algorithm\u2019s":[159],"iterations":[160],"given":[162],"closed":[164],"forms.":[165],"3)":[166],"Extensive":[167],"experiments":[168],"have":[169],"been":[170,186],"done":[171],"verify":[173],"specifically":[178],"its":[179],"significant":[180],"improvements":[181],"over":[182],"has":[185],"validated.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
