{"id":"https://openalex.org/W4321488293","doi":"https://doi.org/10.1109/tvcg.2023.3247169","title":"Accurate Registration of Cross-Modality Geometry via Consistent Clustering","display_name":"Accurate Registration of Cross-Modality Geometry via Consistent Clustering","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321488293","doi":"https://doi.org/10.1109/tvcg.2023.3247169","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027717"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3247169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3247169","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5114949187","display_name":"Mingyang Zhao","orcid":"https://orcid.org/0000-0001-6953-9731"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Zhao","raw_affiliation_strings":["Beijing Academy of Artificial Intelligence and the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6953-9731","affiliations":[{"raw_affiliation_string":"Beijing Academy of Artificial Intelligence and the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043863561","display_name":"Xiaoshui Huang","orcid":"https://orcid.org/0000-0002-3579-538X"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshui Huang","raw_affiliation_strings":["Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3579-538X","affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065291140","display_name":"Jingen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingen Jiang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, and the School of AI, UCAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, and the School of AI, UCAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013704823","display_name":"Luntian Mou","orcid":"https://orcid.org/0000-0002-1551-4448"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luntian Mou","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003969300","display_name":"Dong\u2010Ming Yan","orcid":"https://orcid.org/0000-0003-2209-2404"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Ming Yan","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, and the School of AI, UCAS, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2209-2404","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, and the School of AI, UCAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100462123","display_name":"\u041b\u0435\u0439 \u041c\u0430","orcid":"https://orcid.org/0000-0001-6024-3854"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["National Biomedical Imaging Center, Peking University, Beijing Academy of Artificial Intelligence, and the National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6024-3854","affiliations":[{"raw_affiliation_string":"National Biomedical Imaging Center, Peking University, Beijing Academy of Artificial Intelligence, and the National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210100255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.6747,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98896753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":"7","first_page":"4055","last_page":"4067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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":0.9962999820709229,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7848138809204102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6962982416152954},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6809177398681641},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6411669850349426},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.623519241809845},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.606606125831604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.578129768371582},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.5040335059165955},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.43971917033195496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4321228265762329},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.42379939556121826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41238871216773987}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7848138809204102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962982416152954},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6809177398681641},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6411669850349426},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.623519241809845},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.606606125831604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578129768371582},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.5040335059165955},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.43971917033195496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4321228265762329},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.42379939556121826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41238871216773987},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3247169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3247169","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37027717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027717","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7692897484","display_name":null,"funder_award_id":"sklhse-2022-D-04","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G835646299","display_name":null,"funder_award_id":"62172415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G983976120","display_name":null,"funder_award_id":"2022ZD0116305","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1645374371","https://openalex.org/W1650975994","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W1965805571","https://openalex.org/W1967368660","https://openalex.org/W1978527081","https://openalex.org/W1988874269","https://openalex.org/W1995450389","https://openalex.org/W2034950486","https://openalex.org/W2045691556","https://openalex.org/W2049981393","https://openalex.org/W2054232099","https://openalex.org/W2057069782","https://openalex.org/W2057561720","https://openalex.org/W2085261163","https://openalex.org/W2102481828","https://openalex.org/W2103820944","https://openalex.org/W2107528150","https://openalex.org/W2134236847","https://openalex.org/W2150190641","https://openalex.org/W2171832186","https://openalex.org/W2199704608","https://openalex.org/W2271206385","https://openalex.org/W2343291992","https://openalex.org/W2344109021","https://openalex.org/W2515166224","https://openalex.org/W2519911873","https://openalex.org/W2539887076","https://openalex.org/W2552619376","https://openalex.org/W2566265240","https://openalex.org/W2883979582","https://openalex.org/W2895180691","https://openalex.org/W2903435684","https://openalex.org/W2963264709","https://openalex.org/W2964187290","https://openalex.org/W2966833863","https://openalex.org/W2979400304","https://openalex.org/W2979750740","https://openalex.org/W2981995220","https://openalex.org/W2986382673","https://openalex.org/W3010226298","https://openalex.org/W3034295752","https://openalex.org/W3035030518","https://openalex.org/W3042567147","https://openalex.org/W3083402564","https://openalex.org/W3111598592","https://openalex.org/W3124801651","https://openalex.org/W3164678585","https://openalex.org/W3197085354","https://openalex.org/W4214582039","https://openalex.org/W4310460423","https://openalex.org/W6600413851","https://openalex.org/W6636807858","https://openalex.org/W6636989855","https://openalex.org/W6677548441","https://openalex.org/W6763422710","https://openalex.org/W6767019538"],"related_works":["https://openalex.org/W2813834476","https://openalex.org/W3016861202","https://openalex.org/W4391129294","https://openalex.org/W2807666361","https://openalex.org/W2196111060","https://openalex.org/W4213431252","https://openalex.org/W4306760020","https://openalex.org/W2120071540","https://openalex.org/W2528465333","https://openalex.org/W4200038092"],"abstract_inverted_index":{"The":[0],"registration":[1,41,125],"of":[2,117,144],"unitary-modality":[3],"geometric":[4],"data":[5,21],"has":[6],"been":[7],"successfully":[8,70],"explored":[9],"over":[10],"past":[11],"decades.":[12],"However,":[13],"existing":[14],"approaches":[15,173],"typically":[16],"struggle":[17],"to":[18,23],"handle":[19],"cross-modality":[20,40,124,161],"due":[22],"the":[24,39,51,75,83,108,115,123,133],"intrinsic":[25],"difference":[26],"between":[27,54],"different":[28,55],"models.":[29],"To":[30],"address":[31],"this":[32,35],"problem,":[33,126],"in":[34,81,119],"article,":[36],"we":[37,49,73,113,129],"formulate":[38],"problem":[42],"as":[43,90],"a":[44,66,141],"consistent":[45],"clustering":[46,79,91,121],"process.":[47],"First,":[48],"study":[50],"structure":[52],"similarity":[53],"modalities":[56],"based":[57],"on":[58,122,156],"an":[59],"adaptive":[60],"fuzzy":[61,78,120],"shape":[62],"clustering,":[63],"from":[64,127],"which":[65,82,128],"coarse":[67],"alignment":[68],"is":[69,140,181],"operated.":[71],"Then,":[72],"optimize":[74],"result":[76],"using":[77],"consistently,":[80],"source":[84],"and":[85,93,105,152,159,164,177],"target":[86],"models":[87],"are":[88,154],"formulated":[89],"memberships":[92],"centroids,":[94],"respectively.":[95],"This":[96],"optimization":[97],"casts":[98],"new":[99],"insight":[100],"into":[101],"point":[102],"set":[103],"registration,":[104],"substantially":[106],"improves":[107],"robustness":[109],"against":[110],"outliers.":[111],"Additionally,":[112],"investigate":[114],"effect":[116],"fuzzier":[118],"theoretically":[130],"prove":[131],"that":[132,168],"classical":[134],"Iterative":[135],"Closest":[136],"Point":[137],"(ICP)":[138],"algorithm":[139],"special":[142],"case":[143],"our":[145,169],"newly":[146],"defined":[147],"objective":[148],"function.":[149],"Comprehensive":[150],"experiments":[151],"analysis":[153],"conducted":[155],"both":[157],"synthetic":[158],"real-world":[160],"datasets.":[162],"Qualitative":[163],"quantitative":[165],"results":[166],"demonstrate":[167],"method":[170],"outperforms":[171],"state-of-the-art":[172],"with":[174],"higher":[175],"accuracy":[176],"robustness.":[178],"Our":[179],"code":[180],"publicly":[182],"available":[183],"at":[184],"https://github.com/zikai1/CrossModReg.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}