{"id":"https://openalex.org/W2963290020","doi":"https://doi.org/10.1109/tpami.2019.2929146","title":"3D Rigid Motion Segmentation with Mixed and Unknown Number of Models","display_name":"3D Rigid Motion Segmentation with Mixed and Unknown Number of Models","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963290020","doi":"https://doi.org/10.1109/tpami.2019.2929146","mag":"2963290020","pmid":"https://pubmed.ncbi.nlm.nih.gov/31331880"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2929146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2929146","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.06087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100451925","display_name":"Xun Xu","orcid":"https://orcid.org/0000-0002-5220-2240"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xun Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore","Institute for Infocomm Research, A*STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030078173","display_name":"Loong\u2010Fah Cheong","orcid":"https://orcid.org/0000-0001-5259-9113"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Loong-Fah Cheong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015831706","display_name":"Zhuwen Li","orcid":"https://orcid.org/0000-0001-6892-5788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuwen Li","raw_affiliation_strings":["PonyAI, Fremont, CA, USA"],"affiliations":[{"raw_affiliation_string":"PonyAI, Fremont, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100451925"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I165932596","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":2.5544,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.91888388,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"43","issue":"1","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/segmentation","display_name":"Segmentation","score":0.7443428635597229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192145586013794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6943277716636658},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.519011378288269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5167117118835449},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5118083357810974},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5058805346488953},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.45291802287101746},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4471132457256317},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.420526385307312},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41359904408454895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3743208646774292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37260353565216064},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3698970079421997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17097008228302002}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7443428635597229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192145586013794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6943277716636658},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.519011378288269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5167117118835449},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5118083357810974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5058805346488953},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.45291802287101746},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4471132457256317},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.420526385307312},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41359904408454895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3743208646774292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37260353565216064},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3698970079421997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17097008228302002},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2019.2929146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2929146","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31331880","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31331880","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:1908.06087","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.06087","pdf_url":"https://arxiv.org/pdf/1908.06087","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.06087","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.06087","pdf_url":"https://arxiv.org/pdf/1908.06087","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W81520703","https://openalex.org/W1530781137","https://openalex.org/W1561329191","https://openalex.org/W1599555836","https://openalex.org/W1931947167","https://openalex.org/W1950520880","https://openalex.org/W1965265891","https://openalex.org/W1984066295","https://openalex.org/W1987971958","https://openalex.org/W1993962865","https://openalex.org/W1996134027","https://openalex.org/W1997201895","https://openalex.org/W1997818740","https://openalex.org/W2004744336","https://openalex.org/W2031035116","https://openalex.org/W2033819227","https://openalex.org/W2036098132","https://openalex.org/W2052311585","https://openalex.org/W2052478943","https://openalex.org/W2056639756","https://openalex.org/W2071949631","https://openalex.org/W2076756823","https://openalex.org/W2082712442","https://openalex.org/W2094747750","https://openalex.org/W2100075055","https://openalex.org/W2101290767","https://openalex.org/W2101969495","https://openalex.org/W2102471212","https://openalex.org/W2105709960","https://openalex.org/W2106372467","https://openalex.org/W2108836590","https://openalex.org/W2109743529","https://openalex.org/W2111196130","https://openalex.org/W2114554887","https://openalex.org/W2114674762","https://openalex.org/W2115579991","https://openalex.org/W2118154608","https://openalex.org/W2121947440","https://openalex.org/W2124070468","https://openalex.org/W2127086485","https://openalex.org/W2132914434","https://openalex.org/W2138835141","https://openalex.org/W2143920871","https://openalex.org/W2147278762","https://openalex.org/W2150414161","https://openalex.org/W2150903798","https://openalex.org/W2152322845","https://openalex.org/W2153583129","https://openalex.org/W2154415691","https://openalex.org/W2155889284","https://openalex.org/W2164444636","https://openalex.org/W2177347332","https://openalex.org/W2197046994","https://openalex.org/W2326050853","https://openalex.org/W2528957674","https://openalex.org/W2546325542","https://openalex.org/W2547120296","https://openalex.org/W2590019597","https://openalex.org/W2607257393","https://openalex.org/W2748147629","https://openalex.org/W2798569237","https://openalex.org/W2963035446","https://openalex.org/W3100720754","https://openalex.org/W6640419445","https://openalex.org/W6675968127","https://openalex.org/W6676181016","https://openalex.org/W6678902509","https://openalex.org/W6681738144","https://openalex.org/W6682991666","https://openalex.org/W6683992157","https://openalex.org/W6729884655"],"related_works":["https://openalex.org/W2086368330","https://openalex.org/W2166798841","https://openalex.org/W2170198060","https://openalex.org/W1507433894","https://openalex.org/W2365196554","https://openalex.org/W2157442928","https://openalex.org/W2061723032","https://openalex.org/W2356063813","https://openalex.org/W2185902295","https://openalex.org/W2103507220"],"abstract_inverted_index":{"Many":[0],"real-world":[1,217],"video":[2,31],"sequences":[3,32],"cannot":[4],"be":[5,77,115,140],"conveniently":[6],"categorized":[7],"as":[8,50,149,220],"general":[9,44,122],"or":[10,24],"degenerate;":[11],"in":[12,19,64,118,229],"such":[13,219],"cases,":[14],"imposing":[15],"a":[16,43,51,94,135,166,205],"false":[17],"dichotomy":[18],"using":[20],"the":[21,46,71,85,112,126,143,213,230],"fundamental":[22,47,72,106],"matrix":[23,48,73],"homography":[25,87],"model":[26,52,150,169,176,191],"for":[27,53],"motion":[28,54,123,184],"segmentation":[29,55,124,185,189],"on":[30,182,197],"would":[33],"lead":[34],"to":[35,139,148],"difficulty.":[36],"Even":[37],"when":[38],"we":[39,62,80,92,164,201],"are":[40],"confronted":[41],"with":[42,187],"scene-motion,":[45],"approach":[49,74],"still":[56,156],"suffers":[57],"from":[58,84,142,212],"several":[59],"defects,":[60],"which":[61],"discuss":[63],"this":[65,119,162],"paper.":[66],"The":[67],"full":[68],"potential":[69],"of":[70,128,168,199],"could":[75],"only":[76],"realized":[78],"if":[79],"judiciously":[81],"harness":[82],"information":[83],"simpler":[86],"model.":[88],"From":[89],"these":[90],"considerations,":[91],"propose":[93,165],"multi-model":[95],"spectral":[96],"clustering":[97],"framework":[98],"that":[99,111],"synergistically":[100],"combines":[101],"multiple":[102],"models":[103],"(homography":[104],"and":[105,137,152,175,190,208,223],"matrix)":[107],"together.":[108],"We":[109,178],"show":[110],"performance":[113,196],"can":[114],"substantially":[116],"improved":[117],"way.":[120],"For":[121],"tasks,":[125,193],"number":[127],"independently":[129],"moving":[130],"objects":[131],"is":[132,146,154],"often":[133],"unknown":[134],"priori":[136],"needs":[138],"estimated":[141],"observations.":[144],"This":[145],"referred":[147],"selection":[151,170,192],"it":[153],"essentially":[155],"an":[157],"open":[158],"research":[159],"problem.":[160],"In":[161],"work,":[163],"set":[167],"criteria":[171],"balancing":[172],"data":[173],"fidelity":[174],"complexity.":[177],"perform":[179],"extensive":[180],"testing":[181],"existing":[183],"datasets":[186],"both":[188],"achieving":[194],"state-of-the-art":[195],"all":[198],"them;":[200],"also":[202],"put":[203],"forth":[204],"more":[206],"realistic":[207],"challenging":[209],"dataset":[210],"adapted":[211],"KITTI":[214],"benchmark,":[215],"containing":[216],"effects":[218],"strong":[221,224],"perspectives":[222],"forward":[225],"translations":[226],"not":[227],"seen":[228],"traditional":[231],"datasets.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}