{"id":"https://openalex.org/W3087268568","doi":"https://doi.org/10.1109/tip.2020.3023576","title":"Deterministic Model Fitting by Local-Neighbor Preservation and Global-Residual Optimization","display_name":"Deterministic Model Fitting by Local-Neighbor Preservation and Global-Residual Optimization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3087268568","doi":"https://doi.org/10.1109/tip.2020.3023576","mag":"3087268568","pmid":"https://pubmed.ncbi.nlm.nih.gov/32941133"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3023576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3023576","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5050524397","display_name":"Guobao Xiao","orcid":"https://orcid.org/0000-0003-2928-8100"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guobao Xiao","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China","The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]},{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604225","display_name":"Shiping Wang","orcid":"https://orcid.org/0000-0001-5195-9682"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiping Wang","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002277899","display_name":"Chang Wen Chen","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Changwen Chen","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","University at Buffalo, The State University of New York, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"University at Buffalo, The State University of New York, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050524397"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I354108"],"apc_list":null,"apc_paid":null,"fwci":1.4717,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.84835439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"8988","last_page":"9001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9952999949455261,"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":0.6543144583702087},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5956190824508667},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5822625756263733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5759190320968628},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5343056917190552},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5103945136070251},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4595974087715149},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.4551120400428772},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4353019893169403},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3990715742111206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3247159719467163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31655824184417725},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13933128118515015}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6543144583702087},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5956190824508667},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5822625756263733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759190320968628},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5343056917190552},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5103945136070251},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4595974087715149},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.4551120400428772},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4353019893169403},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3990715742111206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3247159719467163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31655824184417725},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13933128118515015},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.3023576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3023576","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:32941133","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32941133","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4300000071525574},{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G3260984976","display_name":null,"funder_award_id":"61773295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5233021516","display_name":null,"funder_award_id":"2020-RC-186","funder_id":"https://openalex.org/F4320327796","funder_display_name":"Science and Technology Planning Project of Fuzhou"},{"id":"https://openalex.org/G5374528483","display_name":null,"funder_award_id":"2020J01131199","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G6672178096","display_name":null,"funder_award_id":"61702431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7038125391","display_name":null,"funder_award_id":"61972187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320327796","display_name":"Science and Technology Planning Project of Fuzhou","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1519594923","https://openalex.org/W1558959052","https://openalex.org/W1907417778","https://openalex.org/W1910960015","https://openalex.org/W1944285203","https://openalex.org/W1952061682","https://openalex.org/W1967037283","https://openalex.org/W1974014252","https://openalex.org/W1976728150","https://openalex.org/W1995875735","https://openalex.org/W2009953720","https://openalex.org/W2012833704","https://openalex.org/W2022775854","https://openalex.org/W2026375818","https://openalex.org/W2081193615","https://openalex.org/W2085261163","https://openalex.org/W2099295295","https://openalex.org/W2105248082","https://openalex.org/W2106199912","https://openalex.org/W2106815954","https://openalex.org/W2114674762","https://openalex.org/W2116801532","https://openalex.org/W2118410043","https://openalex.org/W2130017587","https://openalex.org/W2133442958","https://openalex.org/W2135245997","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2165801966","https://openalex.org/W2171728525","https://openalex.org/W2467165903","https://openalex.org/W2528666896","https://openalex.org/W2528729631","https://openalex.org/W2621560210","https://openalex.org/W2740578684","https://openalex.org/W2742262683","https://openalex.org/W2754115918","https://openalex.org/W2786092739","https://openalex.org/W2897079652","https://openalex.org/W2948440931","https://openalex.org/W2953002956","https://openalex.org/W2963230108","https://openalex.org/W2963290020","https://openalex.org/W2963931471","https://openalex.org/W2970331557","https://openalex.org/W2971675497","https://openalex.org/W2980701808","https://openalex.org/W2988681037","https://openalex.org/W2990655570","https://openalex.org/W3047057232","https://openalex.org/W3098104829","https://openalex.org/W4230940751","https://openalex.org/W6679909495","https://openalex.org/W6741623884","https://openalex.org/W6782063225"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W4327779705","https://openalex.org/W4310560702","https://openalex.org/W1513698804","https://openalex.org/W2029712093"],"abstract_inverted_index":{"Geometric":[0],"model":[1,32,61,106,136,147,179],"fitting":[2,33,62,180],"has":[3],"been":[4],"widely":[5],"used":[6],"in":[7,108,110,149],"many":[8,48],"computer":[9],"vision":[10],"tasks.":[11],"However,":[12],"it":[13,100],"remains":[14],"as":[15],"a":[16,56,115,132],"challenging":[17],"task":[18],"when":[19],"handing":[20],"multiple-structural":[21,71],"data":[22,109],"contaminated":[23],"by":[24,82,126],"noises":[25],"and":[26,87,143,174],"outliers.":[27],"Most":[28],"previous":[29,123],"work":[30],"on":[31,153,171],"cannot":[34],"guarantee":[35],"the":[36,90,111,122,141,144,158],"consistency":[37],"of":[38,146],"their":[39,43],"solutions":[40,69],"due":[41],"to":[42,66,93,103,139,164],"randomness,":[44],"precluding":[45],"them":[46],"from":[47,78],"real-world":[49],"applications.":[50],"In":[51],"this":[52,98],"research,":[53],"we":[54,130],"propose":[55,131],"fast":[57],"two-view":[58],"approximately":[59],"deterministic":[60],"scheme":[63,76,161],"(called":[64],"LGF),":[65],"provide":[67],"consistent":[68],"for":[70],"data.":[72,150],"The":[73],"proposed":[74,159],"LGF":[75,120,160],"starts":[77],"defining":[79],"preference":[80],"function":[81],"preserving":[83],"local":[84],"neighborhood":[85],"relationship,":[86],"then":[88],"adopts":[89],"min-hash":[91],"technique":[92],"roughly":[94],"sample":[95],"subsets.":[96],"By":[97],"way,":[99],"is":[101,162],"able":[102,163],"cover":[104],"all":[105],"instances":[107,148],"parameter":[112],"space":[113],"with":[114],"high":[116],"probability.":[117],"After":[118],"that,":[119],"refines":[121],"sampled":[124],"subsets":[125],"globalresidual":[127],"optimization.":[128],"Furthermore,":[129],"simple":[133],"yet":[134],"effective":[135],"selection":[137],"framework":[138],"estimate":[140],"number":[142],"parameters":[145],"Extensive":[151],"experiments":[152],"real":[154],"images":[155],"show":[156],"that":[157],"observe":[165],"superior":[166],"or":[167],"very":[168],"competitive":[169],"performance":[170],"both":[172],"accuracy":[173],"speed":[175],"over":[176],"several":[177],"state-of-the-art":[178],"methods.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}