{"id":"https://openalex.org/W1929285438","doi":"https://doi.org/10.1109/cvprw.2015.7301306","title":"Non-rigid articulated point set registration with Local Structure Preservation","display_name":"Non-rigid articulated point set registration with Local Structure Preservation","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1929285438","doi":"https://doi.org/10.1109/cvprw.2015.7301306","mag":"1929285438"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-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/A5100619504","display_name":"Ge Song","orcid":"https://orcid.org/0000-0003-2026-2166"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Ge","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK","School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, United States","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016996180","display_name":"Guoliang Fan","orcid":"https://orcid.org/0000-0002-8584-9040"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK","School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, United States","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":38.5222,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.99276761,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9990000128746033,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937000274658203,"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/constraint","display_name":"Constraint (computer-aided design)","score":0.6105443835258484},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5913999676704407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5481340289115906},{"id":"https://openalex.org/keywords/local-coordinates","display_name":"Local coordinates","score":0.5470654368400574},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5445885062217712},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5134161710739136},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.49709370732307434},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4714810848236084},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.45918554067611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4418856203556061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43951523303985596},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4303346276283264},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4260261058807373},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.41055986285209656},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3674507141113281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34538984298706055},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10032573342323303}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6105443835258484},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5913999676704407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481340289115906},{"id":"https://openalex.org/C2781310163","wikidata":"https://www.wikidata.org/wiki/Q6664315","display_name":"Local coordinates","level":2,"score":0.5470654368400574},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5445885062217712},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5134161710739136},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.49709370732307434},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4714810848236084},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.45918554067611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4418856203556061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43951523303985596},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4303346276283264},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4260261058807373},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.41055986285209656},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3674507141113281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34538984298706055},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10032573342323303},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2015.7301306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1977039804","https://openalex.org/W1984632210","https://openalex.org/W1989191365","https://openalex.org/W1994679038","https://openalex.org/W2033297424","https://openalex.org/W2049981393","https://openalex.org/W2053522525","https://openalex.org/W2056775679","https://openalex.org/W2071730188","https://openalex.org/W2082809978","https://openalex.org/W2110463399","https://openalex.org/W2114354851","https://openalex.org/W2116801532","https://openalex.org/W2118104180","https://openalex.org/W2122870750","https://openalex.org/W2134236847","https://openalex.org/W2137089267","https://openalex.org/W2139958836","https://openalex.org/W2144267444","https://openalex.org/W2150190641","https://openalex.org/W2154400678","https://openalex.org/W2157938685","https://openalex.org/W2158179171","https://openalex.org/W2158778494","https://openalex.org/W2161578027","https://openalex.org/W2171490473","https://openalex.org/W3111937800","https://openalex.org/W4388297464","https://openalex.org/W6680709579","https://openalex.org/W7010160137"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W1952261593","https://openalex.org/W2014494654","https://openalex.org/W1975321310","https://openalex.org/W2990323019","https://openalex.org/W3130349901","https://openalex.org/W2849310602","https://openalex.org/W2903034552"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,75,125],"new":[3],"Gaussian":[4],"mixture":[5],"model":[6],"(GMM)-based":[7],"probabilistic":[8],"point":[9],"set":[10],"registration":[11,71],"method,":[12],"called":[13],"Local":[14,43],"Structure":[15],"Preservation":[16],"(LSP),":[17],"which":[18],"is":[19,41,58,72,99],"aimed":[20],"at":[21],"complex":[22],"non-rigid":[23,141],"and":[24,55,82,133],"articulated":[25,143],"deformations.":[26,144],"LSP":[27],"integrates":[28],"two":[29,109],"complementary":[30],"shape":[31],"descriptors":[32],"to":[33,49,64,139],"preserve":[34],"the":[35,42,51,56,59,66,80,88,108,117,131],"local":[36,52,67,110],"structure.":[37],"The":[38,70,121],"first":[39],"one":[40],"Linear":[44],"Embedding":[45],"(LLE)-based":[46],"topology":[47],"constraint":[48],"retain":[50],"neighborhood":[53,68],"relationship,":[54],"other":[57],"Laplacian":[60],"Coordinate":[61],"(LC)-based":[62],"energy":[63],"encode":[65],"scale.":[69],"formulated":[73],"as":[74],"density":[76],"estimation":[77],"problem":[78],"where":[79,107],"LLE":[81],"LC":[83],"terms":[84,111],"are":[85,112],"embedded":[86],"in":[87],"GMM-based":[89],"Coherent":[90],"Point":[91],"Drift":[92],"(CPD)":[93],"framework.":[94],"A":[95],"closed":[96],"form":[97],"solution":[98],"solved":[100],"by":[101],"an":[102],"Expectation":[103],"Maximization":[104],"(EM)":[105],"algorithm":[106],"jointly":[113],"optimized":[114],"along":[115],"with":[116],"CPD":[118],"coherence":[119],"constraint.":[120],"experimental":[122],"results":[123],"on":[124],"challenging":[126],"3D":[127],"human":[128],"dataset":[129],"show":[130],"accuracy":[132],"efficiency":[134],"of":[135],"our":[136],"proposed":[137],"approach":[138],"handle":[140],"highly":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
