{"id":"https://openalex.org/W4312685343","doi":"https://doi.org/10.1109/tcsvt.2022.3213592","title":"INENet: Inliers Estimation Network With Similarity Learning for Partial Overlapping Registration","display_name":"INENet: Inliers Estimation Network With Similarity Learning for Partial Overlapping Registration","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4312685343","doi":"https://doi.org/10.1109/tcsvt.2022.3213592"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3213592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3213592","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5009576623","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-3459-5079"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3459-5079","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333739","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-6563-5168"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017834338","display_name":"Xiaolong Fan","orcid":"https://orcid.org/0000-0001-8484-2069"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Fan","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8484-2069","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiguang Miao","orcid":"https://orcid.org/0000-0001-6766-8310"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiguang Miao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-6766-8310","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065027008","display_name":"Wenping Ma","orcid":"https://orcid.org/0000-0001-8872-2195"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8872-2195","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":10.0937,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.99539171,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"3","first_page":"1413","last_page":"1426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9958000183105469,"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/point-cloud","display_name":"Point cloud","score":0.7614314556121826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913769245147705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245800256729126},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5506847500801086},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4131312072277069},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37997496128082275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3798114061355591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3707812428474426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34954336285591125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2658112347126007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19707822799682617}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7614314556121826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913769245147705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245800256729126},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5506847500801086},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4131312072277069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37997496128082275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3798114061355591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707812428474426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34954336285591125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2658112347126007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19707822799682617},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3213592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3213592","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1797847628","display_name":null,"funder_award_id":"2022JM-327","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G731801172","display_name":null,"funder_award_id":"62276200","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/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W1984905474","https://openalex.org/W2064499898","https://openalex.org/W2083624955","https://openalex.org/W2085261163","https://openalex.org/W2319503556","https://openalex.org/W2460657278","https://openalex.org/W2519911873","https://openalex.org/W2566265240","https://openalex.org/W2739110650","https://openalex.org/W2885553657","https://openalex.org/W2894691497","https://openalex.org/W2903283814","https://openalex.org/W2906788812","https://openalex.org/W2908510526","https://openalex.org/W2912521810","https://openalex.org/W2962941647","https://openalex.org/W2963231572","https://openalex.org/W2963264709","https://openalex.org/W2963381078","https://openalex.org/W2979750740","https://openalex.org/W2986382673","https://openalex.org/W2987087879","https://openalex.org/W2997333789","https://openalex.org/W2999440435","https://openalex.org/W3014902535","https://openalex.org/W3034314779","https://openalex.org/W3034675048","https://openalex.org/W3097606102","https://openalex.org/W3108059345","https://openalex.org/W3110475565","https://openalex.org/W3116155584","https://openalex.org/W3117476483","https://openalex.org/W3127831797","https://openalex.org/W3133797311","https://openalex.org/W3170794970","https://openalex.org/W3177280664","https://openalex.org/W3178253695","https://openalex.org/W3180017670","https://openalex.org/W3204811697","https://openalex.org/W3211562712","https://openalex.org/W4205890483","https://openalex.org/W4210323894","https://openalex.org/W4214582039","https://openalex.org/W4214895690","https://openalex.org/W4249736682","https://openalex.org/W4288258040","https://openalex.org/W6618372016","https://openalex.org/W6739778489","https://openalex.org/W6757817989","https://openalex.org/W6763422710","https://openalex.org/W6767019538","https://openalex.org/W6767284090","https://openalex.org/W6768770922","https://openalex.org/W6798034376","https://openalex.org/W6803670427"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2562256921"],"abstract_inverted_index":{"Point":[0],"cloud":[1,102],"registration":[2,103,220],"is":[3,23,33,181,225],"a":[4,63,69,175],"key":[5],"problem":[6],"in":[7],"the":[8,21,28,39,50,82,86,93,98,120,124,130,135,144,155,160,172,185,207,215,219,251,257,260],"application":[9],"of":[10,30,85,143,157,177,218,259],"computer":[11],"vision":[12],"to":[13,78,80,91,123,183],"robotics,":[14],"autopilot":[15],"and":[16,45,68,111,128,154,199,210,244],"other":[17,194],"fields.":[18],"However,":[19],"because":[20],"object":[22],"partially":[24,99],"covered":[25],"up":[26],"or":[27],"resolution":[29],"3D":[31],"scanners":[32],"different,":[34],"point":[35,87,101,126,178],"clouds":[36],"collected":[37],"by":[38,49,138,227,242],"same":[40],"sense":[41],"may":[42],"be":[43,190],"inconsistent":[44],"even":[46],"incomplete.":[47],"Inspired":[48],"recently":[51],"proposed":[52,145,261],"learning-based":[53],"approaches,":[54],"we":[55,96],"propose":[56],"Inliers":[57],"Estimation":[58],"Network":[59],"(INENet)":[60],"which":[61,180],"includes":[62],"self-designed":[64],"threshold":[65,114,121,149],"prediction":[66,115,150],"network":[67,72,116,133,151,165],"probability":[70,131],"estimation":[71,132,164],"with":[73,166,223,232,250],"adaptive":[74],"similarity":[75,167],"mutual":[76],"attention":[77],"help":[79],"find":[81],"overlapping":[83,100,108,136,195],"area":[84],"clouds.":[88],"In":[89],"order":[90],"solve":[92],"above":[94],"problems,":[95],"divide":[97],"task":[104],"into":[105,193],"two":[106],"sub-tasks:":[107],"areas":[109],"detection":[110,254],"registration.":[112],"The":[113,141],"can":[117,169,189],"automatically":[118],"calculate":[119],"according":[122],"input":[125],"clouds,":[127,179],"then":[129],"estimates":[134],"points":[137],"using":[139],"threshold.":[140,161],"advantages":[142],"approach":[146],"include:":[147],"(1)":[148],"avoids":[152],"bias":[153],"complexity":[156],"manually":[158],"adjusting":[159,201],"(2)":[162],"Probability":[163],"matrix":[168],"deeply":[170],"fuse":[171],"information":[173],"between":[174],"pair":[176],"helpful":[182],"improve":[184],"accuracy.":[186],"(3)":[187],"INENet":[188,224],"easily":[191],"integrated":[192,222],"region":[196],"sensitive":[197],"algorithms":[198],"without":[200],"parameters.":[202],"We":[203],"conduct":[204],"experiments":[205],"on":[206],"ModelNet40,":[208],"S3DIS":[209],"3DMatch":[211],"data":[212],"sets.":[213],"Specifically,":[214],"rotation":[216],"error":[217],"algorithm":[221],"improved":[226],"at":[228],"least":[229],"25%":[230],"compared":[231,249],"direct":[233],"partial":[234],"overlap":[235,253],"registration,":[236],"our":[237],"method":[238],"improves":[239],"the$F_{1}":[240],"$score":[241],"5%":[243],"has":[245],"better":[246],"anti-noise":[247],"ability":[248],"existing":[252],"methods,":[255],"showing":[256],"effectiveness":[258],"method.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}