{"id":"https://openalex.org/W3170062942","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533295","title":"Local-Global based Deep Registration Neural Network for Rigid Alignment","display_name":"Local-Global based Deep Registration Neural Network for Rigid Alignment","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3170062942","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533295","mag":"3170062942"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000230670","display_name":"V\u00edctor Villena-Mart\u00ednez","orcid":null},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Victor Villena-Martinez","raw_affiliation_strings":["University of Alicante, Alicante, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049623161","display_name":"Marcelo Saval-Calvo","orcid":"https://orcid.org/0000-0002-6245-5145"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marcelo Saval-Calvo","raw_affiliation_strings":["University of Alicante, Alicante, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045870755","display_name":"Jorge Azor\u00edn-L\u00f3pez","orcid":"https://orcid.org/0000-0003-4762-6927"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Azorin-Lopez","raw_affiliation_strings":["University of Alicante, Alicante, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080320457","display_name":"Andr\u00e9s Fuster-Guill\u00f3","orcid":"https://orcid.org/0000-0003-0938-6344"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andres Fuster-Guillo","raw_affiliation_strings":["University of Alicante, Alicante, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020686179","display_name":"Robert B. Fisher","orcid":"https://orcid.org/0000-0001-6860-9371"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robert B. Fisher","raw_affiliation_strings":["School of Informatics University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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/point-cloud","display_name":"Point cloud","score":0.8190031051635742},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6923822164535522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869655251502991},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6678473949432373},{"id":"https://openalex.org/keywords/euler-angles","display_name":"Euler angles","score":0.6235924363136292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6128114461898804},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.57242751121521},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48896729946136475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48253318667411804},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4417261481285095},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41950374841690063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40356341004371643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24744006991386414},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19726848602294922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12180659174919128},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08302366733551025}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8190031051635742},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6923822164535522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869655251502991},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6678473949432373},{"id":"https://openalex.org/C146160929","wikidata":"https://www.wikidata.org/wiki/Q751290","display_name":"Euler angles","level":2,"score":0.6235924363136292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6128114461898804},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.57242751121521},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48896729946136475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48253318667411804},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4417261481285095},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41950374841690063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40356341004371643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24744006991386414},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19726848602294922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12180659174919128},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08302366733551025},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/497359af-8e23-418e-aad4-4f293c57bff5","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/497359af-8e23-418e-aad4-4f293c57bff5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:rua.ua.es:10045/151327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IJCNN52387.2021.9533295","pdf_url":null,"source":{"id":"https://openalex.org/S4306400416","display_name":"Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130194489","host_organization_name":"University of Alicante","host_organization_lineage":["https://openalex.org/I130194489"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1657081843","https://openalex.org/W1920022804","https://openalex.org/W1965805571","https://openalex.org/W2118877769","https://openalex.org/W2119851068","https://openalex.org/W2194775991","https://openalex.org/W2270543148","https://openalex.org/W2560609797","https://openalex.org/W2566265240","https://openalex.org/W2742069755","https://openalex.org/W2785818072","https://openalex.org/W2962771259","https://openalex.org/W2963121255","https://openalex.org/W2963264709","https://openalex.org/W2968143487","https://openalex.org/W2979750740","https://openalex.org/W2980734375","https://openalex.org/W2986382673","https://openalex.org/W3004808484","https://openalex.org/W3010641641","https://openalex.org/W3035490780","https://openalex.org/W3039448353","https://openalex.org/W3039659384","https://openalex.org/W3080402499","https://openalex.org/W3096538374","https://openalex.org/W3097798494","https://openalex.org/W6640300118","https://openalex.org/W6739778489","https://openalex.org/W6747904511","https://openalex.org/W6763422710","https://openalex.org/W6782418124"],"related_works":["https://openalex.org/W2327098427","https://openalex.org/W1955447130","https://openalex.org/W4252235637","https://openalex.org/W1978480798","https://openalex.org/W2418946452","https://openalex.org/W2003633823","https://openalex.org/W4246868476","https://openalex.org/W2376061221","https://openalex.org/W2532699836","https://openalex.org/W4319996257"],"abstract_inverted_index":{"Three-dimensional":[0],"registration":[1,40],"is":[2,65,74],"a":[3,42,75,97,121,127,154,178,182],"well-known":[4],"topic":[5],"in":[6,104,120],"computer":[7],"vision":[8],"that":[9],"aims":[10],"to":[11,20,36,56,152],"align":[12],"two":[13,47,69,117],"datasets":[14],"(e.g.":[15],"point":[16,49,118,192],"clouds).":[17],"Recent":[18],"approaches":[19],"this":[21,29],"problem":[22,38],"are":[23,194],"based":[24,78],"on":[25,79],"learning":[26],"techniques.":[27],"In":[28],"paper,":[30],"we":[31],"present":[32],"an":[33,164],"improved":[34],"solution":[35],"the":[37,54,60,71,87,94,102,113,131,140,145,148,159,198,210],"of":[39,112,124,150,158,170,185,209],"with":[41,89,96,126,190,203],"novel":[43],"architecture":[44,64],"that,":[45],"given":[46],"3D":[48],"clouds":[50,119,193],"as":[51],"input,":[52],"estimates":[53,86],"rotation":[55,88,151,183],"map":[57],"one":[58],"into":[59,68],"other.":[61],"The":[62,83,109,161,188],"network":[63,199],"conceptually":[66],"divided":[67],"parts,":[70],"first":[72],"part":[73,85],"feature":[76],"selection":[77],"PointNet":[80],"and":[81,100,107,147,181],"PointNet++.":[82],"second":[84],"Euler":[90],"angles":[91,125],"by":[92],"calculating":[93],"correspondences":[95],"FlowNet-based":[98],"network,":[99],"finally":[101],"rotations":[103],"yaw,":[105],"pitch,":[106],"roll.":[108],"generalization":[110,208],"capability":[111],"proposal":[114],"allows":[115],"mapping":[116],"wide":[122],"range":[123],"stable":[128],"error":[129,184],"over":[130],"whole":[132],"range.":[133],"Experiments":[134],"have":[135],"been":[136],"carried":[137],"out":[138],"using":[139],"ModelNet10":[141],"objects":[142],"dataset,":[143],"varying":[144],"axis":[146],"angle":[149],"provide":[153],"sufficiently":[155,195],"complete":[156],"evaluation":[157],"architecture.":[160],"results":[162,189],"show":[163],"average":[165],"distance":[166],"Mean":[167],"Square":[168],"Error":[169],"4.94":[171],"\u00d7":[172],"10":[173],"<sup":[174],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22125</sup>":[176],"within":[177],"unit":[179],"sphere":[180],"1.18":[186],"degrees.":[187],"noisy":[191],"accurate":[196],"providing":[197],"was":[200],"trained":[201],"only":[202],"noise-free":[204],"data,":[205],"demonstrating":[206],"good":[207],"approach.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
