{"id":"https://openalex.org/W2044681510","doi":"https://doi.org/10.1109/cvpr.2011.5995440","title":"Learning temporally consistent rigidities","display_name":"Learning temporally consistent rigidities","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2044681510","doi":"https://doi.org/10.1109/cvpr.2011.5995440","mag":"2044681510"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/inria-00583131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000779679","display_name":"Jean-S\u00e9bastien Franco","orcid":"https://orcid.org/0000-0002-4721-1441"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jean-Sebastien Franco","raw_affiliation_strings":["INRIA Grenoble Rh\u00f4ne-Alpes, LJK, France","LJK - INRIA Grenoble Rh\u00f4ne-Alpes, France"],"affiliations":[{"raw_affiliation_string":"INRIA Grenoble Rh\u00f4ne-Alpes, LJK, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006"]},{"raw_affiliation_string":"LJK - INRIA Grenoble Rh\u00f4ne-Alpes, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087534898","display_name":"Edmond Boyer","orcid":"https://orcid.org/0000-0002-1182-3729"},"institutions":[{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Edmond Boyer","raw_affiliation_strings":["INRIA Grenoble Rh\u00f4ne-Alpes, LJK, France","LJK - INRIA Grenoble Rh\u00f4ne-Alpes, France"],"affiliations":[{"raw_affiliation_string":"INRIA Grenoble Rh\u00f4ne-Alpes, LJK, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006"]},{"raw_affiliation_string":"LJK - INRIA Grenoble Rh\u00f4ne-Alpes, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000779679"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":3.6592,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9425503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1241","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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/robustness","display_name":"Robustness (evolution)","score":0.7637497186660767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6676898002624512},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6511659622192383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644831657409668},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6446020603179932},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6209157109260559},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6197978258132935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5649063587188721},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.49692848324775696},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4942353069782257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.384097158908844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3715999722480774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27512308955192566},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.25420132279396057},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.19761693477630615}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7637497186660767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6676898002624512},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6511659622192383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644831657409668},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6446020603179932},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6209157109260559},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6197978258132935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5649063587188721},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.49692848324775696},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4942353069782257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.384097158908844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3715999722480774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27512308955192566},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25420132279396057},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.19761693477630615},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2011.5995440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:inria-00583131v1","is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00583131","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR 2011 - IEEE Computer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States. pp.1241-1248, ⟨10.1109/CVPR.2011.5995440⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:inria-00583131v1","is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00583131","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR 2011 - IEEE Computer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States. pp.1241-1248, ⟨10.1109/CVPR.2011.5995440⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1489824013","https://openalex.org/W1496571393","https://openalex.org/W1506806321","https://openalex.org/W1546761409","https://openalex.org/W1950520880","https://openalex.org/W2023808821","https://openalex.org/W2037149239","https://openalex.org/W2049633694","https://openalex.org/W2052311585","https://openalex.org/W2062192902","https://openalex.org/W2071894871","https://openalex.org/W2090267299","https://openalex.org/W2106627486","https://openalex.org/W2109752307","https://openalex.org/W2117007522","https://openalex.org/W2121227088","https://openalex.org/W2122578066","https://openalex.org/W2132541425","https://openalex.org/W2160014001","https://openalex.org/W6629167586","https://openalex.org/W6629607343","https://openalex.org/W6632668525","https://openalex.org/W6640861363","https://openalex.org/W6676047890","https://openalex.org/W6678189949","https://openalex.org/W6679755642"],"related_works":["https://openalex.org/W2789522126","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2753351751","https://openalex.org/W3185180338","https://openalex.org/W1976188970","https://openalex.org/W2889559465","https://openalex.org/W2990541822"],"abstract_inverted_index":{"We":[0,50,85,104,121],"present":[1],"a":[2,95,114],"novel":[3],"probabilistic":[4],"framework":[5],"for":[6,59],"rigid":[7,80,92,118,138],"tracking":[8],"and":[9,77,88,137,144,156],"segmentation":[10,44],"of":[11,25,63,66,91,94,150],"shapes":[12],"observed":[13],"from":[14],"multiple":[15],"cameras.":[16],"Most":[17],"existing":[18],"methods":[19],"have":[20],"focused":[21],"on":[22,82,142],"solving":[23],"each":[24],"these":[26],"problems":[27],"individually,":[28],"segmenting":[29],"the":[30,64,69,83,102,148,151],"shape":[31,43],"assuming":[32,42],"surface":[33,40],"registration":[34,41,56],"is":[35,48],"solved,":[36],"or":[37,45,55],"conversely":[38],"performing":[39],"kinematic":[46,54],"structure":[47,81],"known.":[49],"assume":[51],"no":[52],"prior":[53],"knowledge":[57],"except":[58],"an":[60,126],"over-estimate":[61],"k":[62],"number":[65],"rigidities":[67],"in":[68,101],"scene,":[70],"instead":[71],"proposing":[72],"to":[73,134,154,160],"simultaneously":[74,86],"discover,":[75],"adapt,":[76],"track":[78],"its":[79,157],"fly.":[84],"segment":[87],"infer":[89],"poses":[90],"subcomponents":[93],"single":[96],"chosen":[97],"reference":[98,135],"mesh":[99],"acquired":[100],"sequence.":[103],"show":[105,147],"that":[106],"this":[107,123],"problem":[108,124],"can":[109],"be":[110],"rigorously":[111],"cast":[112],"as":[113],"likelihood":[115],"maximization":[116],"over":[117],"component":[119],"parameters.":[120],"solve":[122],"using":[125],"Expectation":[127],"Maximization":[128],"algorithm,":[129],"with":[130],"latent":[131],"observation":[132],"assignments":[133],"vertices":[136],"parts.":[139],"Our":[140],"experiments":[141],"synthetic":[143],"real":[145],"data":[146],"validity":[149],"method,":[152],"robustness":[153],"noise,":[155],"promising":[158],"applicability":[159],"complex":[161],"sequences.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}