{"id":"https://openalex.org/W2118265041","doi":"https://doi.org/10.1109/cvpr.2009.5206579","title":"D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes","display_name":"D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2118265041","doi":"https://doi.org/10.1109/cvpr.2009.5206579","mag":"2118265041"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206579","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5071396523","display_name":"Gowri Somanath","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gowri Somanath","raw_affiliation_strings":["VIMS Lab, Department of Computer Science, University of Delaware, USA","[Dept. of Computer Science, Univ. of Delaware, Newark, DE, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIMS Lab, Department of Computer Science, University of Delaware, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"[Dept. of Computer Science, Univ. of Delaware, Newark, DE, USA]","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041822721","display_name":"M. Rohith","orcid":"https://orcid.org/0000-0002-5722-8319"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. V. Rohith","raw_affiliation_strings":["VIMS Lab, Department of Computer Science, University of Delaware, USA","[Dept. of Computer Science, Univ. of Delaware, Newark, DE, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIMS Lab, Department of Computer Science, University of Delaware, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"[Dept. of Computer Science, Univ. of Delaware, Newark, DE, USA]","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103547126","display_name":"Dmitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitris Metaxas","raw_affiliation_strings":["CBIM Center, Department of Computer Science, Rutgers University, USA","Department of Computer Science Rutgers University  Piscataway NJ USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CBIM Center, Department of Computer Science, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Computer Science Rutgers University  Piscataway NJ USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076482730","display_name":"Chandra Kambhamettu","orcid":"https://orcid.org/0000-0001-5306-3994"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandra Kambhamettu","raw_affiliation_strings":["VIMS Lab, Department of Computer Science, University of Delaware, USA","[Dept. of Computer Science, Univ. of Delaware, Newark, DE, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIMS Lab, Department of Computer Science, University of Delaware, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"[Dept. of Computer Science, Univ. of Delaware, Newark, DE, USA]","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0727,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77967807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2783","last_page":"2789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8560701012611389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8394562005996704},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7350631356239319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.716076135635376},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5844210386276245},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5698425769805908},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5021181106567383},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4386635422706604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.430332750082016},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.429522842168808}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8560701012611389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8394562005996704},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7350631356239319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.716076135635376},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5844210386276245},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5698425769805908},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5021181106567383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4386635422706604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.430332750082016},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.429522842168808},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2009.5206579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206579","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.219.984","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vims.cis.udel.edu/publications/gowri_cvpr09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1655654231","https://openalex.org/W1969552659","https://openalex.org/W1993267444","https://openalex.org/W2027726068","https://openalex.org/W2033819227","https://openalex.org/W2067191022","https://openalex.org/W2073983104","https://openalex.org/W2083200674","https://openalex.org/W2096361585","https://openalex.org/W2099606917","https://openalex.org/W2103658758","https://openalex.org/W2104500064","https://openalex.org/W2112301665","https://openalex.org/W2118836177","https://openalex.org/W2129201358","https://openalex.org/W2130898597","https://openalex.org/W2134141598","https://openalex.org/W2134529554","https://openalex.org/W2140000690","https://openalex.org/W2144748970","https://openalex.org/W2151103935","https://openalex.org/W2167089306","https://openalex.org/W2172191903","https://openalex.org/W2296770417","https://openalex.org/W6677803967","https://openalex.org/W6679901206"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966","https://openalex.org/W1834370135","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Autonomous":[0],"systems":[1,16],"which":[2,140],"learn":[3],"and":[4,38,70,115,156,166],"utilize":[5],"a":[6,19,27,50,57,93,143],"limited":[7],"visual":[8],"vocabulary":[9],"have":[10],"wide":[11],"spread":[12],"applications.":[13],"Enabling":[14],"such":[15],"to":[17,32,52,117,123],"segment":[18],"set":[20,94],"of":[21,36,42,59,84,95,106,112,129,142],"cluttered":[22],"scenes":[23,132],"into":[24],"objects":[25,37,44,72],"is":[26,90,109,151,163],"challenging":[28],"vision":[29],"problem":[30],"owing":[31],"the":[33,39,53,82,85,110,130],"non-homogeneous":[34],"texture":[35,155],"random":[40],"configurations":[41],"multiple":[43,71],"in":[45,65,74],"each":[46,62,75,128],"scene.":[47,103],"We":[48],"present":[49],"solution":[51],"following":[54],"question:":[55],"given":[56],"collection":[58],"images":[60,69],"where":[61],"object":[63,121,138,150],"appears":[64],"one":[66,99],"or":[67],"more":[68],"occur":[73],"image,":[76],"how":[77],"best":[78],"can":[79],"we":[80],"extract":[81],"boundaries":[83,122],"different":[86],"objects?":[87],"The":[88,104,134],"algorithm":[89,135],"presented":[91],"with":[92,98,127],"stereo":[96,100],"images,":[97],"pair":[101],"per":[102,146],"novelty":[105],"our":[107],"work":[108],"use":[111],"both":[113,153,164],"color/texture":[114],"structure":[116],"refine":[118],"previously":[119],"determined":[120],"achieve":[124],"segmentation":[125],"consistent":[126],"input":[131],"presented.":[133],"populates":[136],"an":[137,149],"library,":[139],"consists":[141],"3D":[144],"model":[145],"object.":[147],"Since":[148],"characterized":[152],"by":[154],"structure,":[157],"for":[158],"most":[159],"purposes":[160],"this":[161],"representation":[162],"complete":[165],"concise.":[167]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}