{"id":"https://openalex.org/W2592726576","doi":"https://doi.org/10.1109/robio.2016.7866455","title":"Non-rigid point set registration via mixture of asymmetric Gaussians with integrated local structures","display_name":"Non-rigid point set registration via mixture of asymmetric Gaussians with integrated local structures","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2592726576","doi":"https://doi.org/10.1109/robio.2016.7866455","mag":"2592726576"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2016.7866455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5076203712","display_name":"Mingliang Fu","orcid":"https://orcid.org/0000-0002-6006-6699"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"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/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Fu","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, Liaoning province, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, Liaoning province, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004123938","display_name":"Weijia Zhou","orcid":"https://orcid.org/0000-0003-4339-0435"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Zhou","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"999","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955000281333923,"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-set-registration","display_name":"Point set registration","score":0.7410662174224854},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6564711332321167},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.6234850287437439},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6109683513641357},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5426095724105835},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5158211588859558},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5149270296096802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4771275520324707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46196621656417847},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45547083020210266},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4464702010154724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4461463987827301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4248586595058441},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.4243416488170624},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4187212884426117},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3707610070705414},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.3188079595565796},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.26421672105789185},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.11277100443840027}],"concepts":[{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.7410662174224854},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6564711332321167},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.6234850287437439},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6109683513641357},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5426095724105835},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5158211588859558},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5149270296096802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4771275520324707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46196621656417847},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45547083020210266},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4464702010154724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4461463987827301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4248586595058441},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.4243416488170624},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4187212884426117},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3707610070705414},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.3188079595565796},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26421672105789185},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.11277100443840027},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2016.7866455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1546486946","https://openalex.org/W1981969979","https://openalex.org/W2037495825","https://openalex.org/W2049633694","https://openalex.org/W2053522525","https://openalex.org/W2057175746","https://openalex.org/W2088181253","https://openalex.org/W2114712988","https://openalex.org/W2116801532","https://openalex.org/W2124141313","https://openalex.org/W2134236847","https://openalex.org/W2137089267","https://openalex.org/W2150190641","https://openalex.org/W2160431995","https://openalex.org/W2160821342","https://openalex.org/W2161308290","https://openalex.org/W2171490473","https://openalex.org/W2172953088","https://openalex.org/W2406457339","https://openalex.org/W3129711340","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W2077224612","https://openalex.org/W2153481672","https://openalex.org/W2153238387","https://openalex.org/W4312864369","https://openalex.org/W84255947","https://openalex.org/W2014842417","https://openalex.org/W2502114474","https://openalex.org/W2968374624"],"abstract_inverted_index":{"As":[0],"a":[1,13,33,42,92,130],"fundamental":[2],"problem":[3],"in":[4,110,122],"computer":[5],"vision":[6],"community,":[7],"non-rigid":[8,37],"point":[9,38,77],"set":[10,39,78],"registration":[11,79],"is":[12,21,49,100,117,133],"challenging":[14],"topic":[15],"since":[16],"the":[17,57,75,83,106,123,136,144,150],"corresponding":[18],"transformation":[19,115],"model":[20,47,60,109,116],"often":[22],"unknown":[23],"and":[24,166],"difficult":[25],"to":[26,51,81,102],"model.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"present":[32],"robust":[34],"method":[35,94],"for":[36,95],"registration.":[40],"Firstly,":[41],"mixture":[43,59],"of":[44,105,146,153,159],"asymmetric":[45,54],"Gaussian":[46,58],"(MoAG)":[48],"employed":[50],"capture":[52],"spatially":[53],"distributions":[55],"which":[56,90],"(GMM)":[61],"based":[62],"methods":[63,155],"neglect":[64],"instinctively.":[65],"Secondly,":[66],"local":[67],"structures":[68],"among":[69],"adjacent":[70],"points":[71],"are":[72],"integrated":[73],"into":[74],"MoAG-based":[76],"framework":[80],"improve":[82],"correspondence":[84],"estimation.":[85],"Thirdly,":[86],"Expectation-Maximization":[87],"(EM)":[88],"algorithm":[89,148],"provides":[91],"numerical":[93],"finding":[96],"maximum":[97],"likelihood":[98],"estimators":[99],"utilized":[101],"estimate":[103],"parameters":[104],"latent":[107],"variable":[108],"our":[111,147],"proposed":[112],"method.":[113],"The":[114],"solved":[118],"under":[119,156],"regularization":[120],"theory":[121],"Reproducing":[124],"Kernel":[125],"Hilbert":[126],"Space":[127],"(RKHS).":[128],"Conveniently,":[129],"fast":[131],"implementation":[132],"achieved":[134],"by":[135],"sparse":[137],"approximation.":[138],"Finally,":[139],"experiments":[140],"results":[141],"show":[142],"that":[143],"robustness":[145],"outperforms":[149],"comparative":[151],"state":[152],"art":[154],"various":[157],"types":[158],"distortions,":[160],"such":[161],"as":[162],"deformation,":[163],"noise,":[164],"outliers":[165],"occlusion.":[167]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
