{"id":"https://openalex.org/W2097374608","doi":"https://doi.org/10.1145/2366145.2366156","title":"A <i>search-classify</i> approach for cluttered indoor scene understanding","display_name":"A <i>search-classify</i> approach for cluttered indoor scene understanding","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2097374608","doi":"https://doi.org/10.1145/2366145.2366156","mag":"2097374608"},"language":"en","primary_location":{"id":"doi:10.1145/2366145.2366156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2366145.2366156","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5027616562","display_name":"Liangliang Nan","orcid":"https://orcid.org/0000-0002-5629-9975"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liangliang Nan","raw_affiliation_strings":["Shenzhen VisuCA Key Lab/SIAT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab/SIAT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860508","display_name":"Ke Xie","orcid":"https://orcid.org/0000-0001-5974-5224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Xie","raw_affiliation_strings":["Shenzhen VisuCA Key Lab/SIAT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab/SIAT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074974298","display_name":"Andrei Sharf","orcid":"https://orcid.org/0000-0002-3963-4508"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Andrei Sharf","raw_affiliation_strings":["Ben Gurion University","BEN GURION UNIVERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben Gurion University","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"BEN GURION UNIVERSITY","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027616562"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":440.8117,"has_fulltext":false,"cited_by_count":250,"citation_normalized_percentile":{"value":0.99990969,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":"6","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8097981214523315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7960967421531677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6887473464012146},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.6883487701416016},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6260194778442383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6098019480705261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4681577682495117},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44116461277008057},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43952885270118713},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.41709062457084656},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.41206106543540955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097981214523315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7960967421531677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6887473464012146},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6883487701416016},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6260194778442383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6098019480705261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4681577682495117},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44116461277008057},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43952885270118713},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.41709062457084656},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.41206106543540955},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2366145.2366156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2366145.2366156","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1983086512","display_name":null,"funder_award_id":"2012AA0118022011AA010503","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G454113095","display_name":null,"funder_award_id":"6.13E+23","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5803838641","display_name":null,"funder_award_id":"2011B050200007","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W155419516","https://openalex.org/W1528784360","https://openalex.org/W1532372219","https://openalex.org/W1564871316","https://openalex.org/W1576255805","https://openalex.org/W1818727054","https://openalex.org/W1977572223","https://openalex.org/W1990345222","https://openalex.org/W1991289824","https://openalex.org/W1995050439","https://openalex.org/W2000018820","https://openalex.org/W2026101879","https://openalex.org/W2040279394","https://openalex.org/W2042239476","https://openalex.org/W2047901762","https://openalex.org/W2049351243","https://openalex.org/W2050195189","https://openalex.org/W2052976238","https://openalex.org/W2057175746","https://openalex.org/W2057316718","https://openalex.org/W2059496137","https://openalex.org/W2065745355","https://openalex.org/W2072752234","https://openalex.org/W2078550120","https://openalex.org/W2085411191","https://openalex.org/W2099606917","https://openalex.org/W2099907898","https://openalex.org/W2100588357","https://openalex.org/W2102402541","https://openalex.org/W2102556003","https://openalex.org/W2106943820","https://openalex.org/W2115703234","https://openalex.org/W2127911825","https://openalex.org/W2129091674","https://openalex.org/W2133616956","https://openalex.org/W2151103935","https://openalex.org/W2156116778","https://openalex.org/W2156222070","https://openalex.org/W2159213092","https://openalex.org/W2160254296","https://openalex.org/W2166049352","https://openalex.org/W2172156083","https://openalex.org/W2536043048","https://openalex.org/W2600643276","https://openalex.org/W2623660146","https://openalex.org/W2911964244","https://openalex.org/W3097096317","https://openalex.org/W3136970581","https://openalex.org/W3138558418","https://openalex.org/W3138833936","https://openalex.org/W4205137954","https://openalex.org/W4237990553","https://openalex.org/W4239931790","https://openalex.org/W4241541897","https://openalex.org/W4249142012","https://openalex.org/W4252410105","https://openalex.org/W4301045096"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2385033175","https://openalex.org/W2374043190","https://openalex.org/W2363298784","https://openalex.org/W2578478211"],"abstract_inverted_index":{"We":[0,55,82,95],"present":[1,56],"an":[2,66,109],"algorithm":[3],"for":[4,47],"recognition":[5,49],"and":[6,24,50,63,77,122],"reconstruction":[7,15,51,107,123],"of":[8,124],"scanned":[9,40],"3D":[10,13],"indoor":[11,14,126],"scenes.":[12],"is":[16,36,108],"particularly":[17],"challenging":[18],"due":[19],"to":[20,38,98,101],"object":[21,48],"interferences,":[22],"occlusions":[23],"overlapping":[25],"which":[26,60,90,111],"yield":[27],"incomplete":[28],"yet":[29],"very":[30],"complex":[31],"scene":[32,76,93,115],"arrangements.":[33],"Since":[34],"it":[35],"hard":[37],"assemble":[39],"segments":[41],"into":[42],"complete":[43],"models,":[44],"traditional":[45],"methods":[46],"would":[52],"be":[53],"inefficient.":[54],"a":[57,70,86,92],"search-classify":[58],"approach":[59],"interleaves":[61],"segmentation":[62],"classification":[64,80,84,103,121],"in":[65,129],"iterative":[67],"manner.":[68],"Using":[69],"robust":[71],"classifier":[72],"we":[73],"traverse":[74],"the":[75,113],"gradually":[78],"propagate":[79],"information.":[81],"reinforce":[83],"by":[85],"template":[87],"fitting":[88],"step":[89],"yields":[91],"reconstruction.":[94],"deform-to-fit":[96],"templates":[97],"classified":[99],"objects":[100],"resolve":[102],"ambiguities.":[104],"The":[105],"resulting":[106],"approximation":[110],"captures":[112],"general":[114],"arrangement.":[116],"Our":[117],"results":[118],"demonstrate":[119],"successful":[120],"cluttered":[125],"scenes,":[127],"captured":[128],"just":[130],"few":[131],"minutes.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
