{"id":"https://openalex.org/W4382658005","doi":"https://doi.org/10.1109/tnnls.2023.3286943","title":"RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations","display_name":"RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations","publication_year":2023,"publication_date":"2023-06-30","ids":{"openalex":"https://openalex.org/W4382658005","doi":"https://doi.org/10.1109/tnnls.2023.3286943","pmid":"https://pubmed.ncbi.nlm.nih.gov/37389998"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3286943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3286943","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/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":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3459-5079","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, 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":"https://orcid.org/0000-0002-6563-5168","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/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"]}]},{"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 Collaborative Intelligence Systems, 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 Collaborative Intelligence Systems, 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/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 Collaborative Intelligence Systems, 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 Collaborative Intelligence Systems, 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/A5100432821","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0000-0002-9768-516X"},"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":"Mingyang Zhang","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-9768-516X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, 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/A5006614329","display_name":"A. K. Qin","orcid":"https://orcid.org/0000-0001-6631-1651"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. K. Qin","raw_affiliation_strings":["Department of Computing Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6631-1651","affiliations":[{"raw_affiliation_string":"Department of Computing Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","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":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-6766-8310","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.3415,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.99784349,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"11","first_page":"15453","last_page":"15466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9915000200271606,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.729885995388031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7025108933448792},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.656862735748291},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6331561803817749},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6166980266571045},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5911439061164856},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5408018827438354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5129899382591248},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4499533772468567},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4397922158241272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2734125852584839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729885995388031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7025108933448792},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.656862735748291},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6331561803817749},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6166980266571045},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5911439061164856},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5408018827438354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5129899382591248},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4499533772468567},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4397922158241272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2734125852584839}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3286943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3286943","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37389998","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37389998","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W3176213335"],"abstract_inverted_index":{"Three-dimensional":[0],"point":[1,72],"cloud":[2],"registration":[3,23,60,133,155,238,267],"is":[4,82,137,178,227,262,271],"an":[5],"important":[6],"field":[7],"in":[8],"computer":[9],"vision.":[10],"Recently,":[11],"due":[12],"to":[13,63,83,180,220,230,264],"the":[14,37,47,69,96,101,117,127,132,150,163,172,183,195,203,217,222,241],"increasingly":[15],"complex":[16],"scenes":[17],"and":[18,74,144,188,192,210,237,249],"incomplete":[19],"observations,":[20],"many":[21],"partial-overlap":[22],"methods":[24,33,152],"based":[25],"on":[26,36,108,131,202,240],"overlap":[27,105,199,212,234],"estimation":[28,106,142,200,213,235],"have":[29],"been":[30],"proposed.":[31],"These":[32],"heavily":[34],"rely":[35],"extracted":[38],"overlapping":[39,48,66,71,93,98,140,159],"regions":[40],"with":[41,185,207],"their":[42],"performances":[43],"greatly":[44],"degraded":[45],"when":[46],"region":[49],"extraction":[50,157],"underperforms.":[51],"To":[52],"solve":[53],"this":[54],"problem,":[55],"we":[56,215],"propose":[57],"a":[58,85,122],"partial-to-partial":[59],"network":[61],"(RORNet)":[62],"find":[64],"reliable":[65,92,167,190],"representations":[67,77,94,168],"from":[68,95,149],"partially":[70],"clouds":[73],"use":[75,216],"these":[76],"for":[78],"registration.":[79,109,204],"The":[80,135,255],"idea":[81],"select":[84],"small":[86],"number":[87],"of":[88,104,119,129,139,153,158,165,198,224],"key":[89],"points":[90,184],"called":[91],"estimated":[97],"points,":[99],"reducing":[100],"side":[102,196],"effect":[103],"errors":[107,201],"Although":[110],"it":[111],"may":[112],"filter":[113,181],"out":[114,182],"some":[115],"inliers,":[116],"inclusion":[118],"outliers":[120],"has":[121],"much":[123],"bigger":[124],"influence":[125],"than":[126],"omission":[128],"inliers":[130],"task.":[134],"RORNet":[136,161],"composed":[138],"points'":[141],"module":[143],"representations'":[145],"generation":[146],"module.":[147],"Different":[148],"previous":[151,208],"direct":[154],"after":[156],"areas,":[160],"adds":[162],"step":[164],"extracting":[166],"before":[169],"registration,":[170],"where":[171],"proposed":[173],"similarity":[174,187],"matrix":[175],"downsampling":[176],"method":[177,261],"used":[179],"low":[186],"retain":[189],"representations,":[191],"thus":[193],"reduce":[194],"effects":[197],"Besides,":[205],"compared":[206],"similarity-based":[209],"score-based":[211],"methods,":[214],"dual-branch":[218],"structure":[219],"combine":[221],"benefits":[223],"both,":[225],"which":[226],"less":[228],"sensitive":[229],"noise.":[231],"We":[232],"perform":[233],"experiments":[236,239],"ModelNet40":[242],"dataset,":[243],"outdoor":[244],"large":[245],"scene":[246],"dataset":[247],"KITTI,":[248],"natural":[250],"data":[251],"Stanford":[252],"Bunny":[253],"dataset.":[254],"experimental":[256],"results":[257],"demonstrate":[258],"that":[259],"our":[260],"superior":[263],"other":[265],"partial":[266],"methods.":[268],"Our":[269],"code":[270],"available":[272],"at":[273],"https://github.com/superYuezhang/RORNet.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":48},{"year":2023,"cited_by_count":15}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}