{"id":"https://openalex.org/W2548546665","doi":"https://doi.org/10.1109/iccv.2009.5459200","title":"Multi-scale object detection by clustering lines","display_name":"Multi-scale object detection by clustering lines","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2548546665","doi":"https://doi.org/10.1109/iccv.2009.5459200","mag":"2548546665"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5084415727","display_name":"Bj\u00f6rn Ommer","orcid":"https://orcid.org/0000-0003-0766-120X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bjorn Ommer","raw_affiliation_strings":["Computer Science Division, EECS, University of California Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, EECS, University of California Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001594573","display_name":"Jitendra Malik","orcid":"https://orcid.org/0000-0003-3695-1580"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jitendra Malik","raw_affiliation_strings":["Computer Science Division, EECS, University of California Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, EECS, University of California Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084415727"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":12.7941,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.9899899,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"491"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9969000220298767,"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":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.7951602935791016},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7268054485321045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636709451675415},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5657873153686523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5619292855262756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527610778808594},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5417817234992981},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5189878344535828},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5188780426979065},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.4850468039512634},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.410480260848999},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38552579283714294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3289657235145569},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1790454387664795},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1424809694290161}],"concepts":[{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.7951602935791016},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7268054485321045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636709451675415},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5657873153686523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5619292855262756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527610778808594},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5417817234992981},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5189878344535828},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5188780426979065},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.4850468039512634},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.410480260848999},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38552579283714294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3289657235145569},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1790454387664795},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1424809694290161},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.8959","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.8959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.berkeley.edu/projects/vision/shape/ommer_cvl_iccv09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1625255723","https://openalex.org/W1699734612","https://openalex.org/W1995444699","https://openalex.org/W2030536784","https://openalex.org/W2077990749","https://openalex.org/W2086374833","https://openalex.org/W2087515439","https://openalex.org/W2103658758","https://openalex.org/W2104241941","https://openalex.org/W2104978738","https://openalex.org/W2106255337","https://openalex.org/W2113201641","https://openalex.org/W2113656553","https://openalex.org/W2118330267","https://openalex.org/W2123602281","https://openalex.org/W2124386111","https://openalex.org/W2125641978","https://openalex.org/W2127597232","https://openalex.org/W2145169631","https://openalex.org/W2149107824","https://openalex.org/W2153635508","https://openalex.org/W2154422044","https://openalex.org/W2161567010","https://openalex.org/W2161969291","https://openalex.org/W2162820221","https://openalex.org/W2162915993","https://openalex.org/W2164877691","https://openalex.org/W2166742463","https://openalex.org/W2168002178","https://openalex.org/W2168709984","https://openalex.org/W2168753754","https://openalex.org/W2171108400","https://openalex.org/W2186094539","https://openalex.org/W3097096317","https://openalex.org/W3120421331","https://openalex.org/W6636494156","https://openalex.org/W6681623315","https://openalex.org/W6683978607","https://openalex.org/W6684521310"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2372868647"],"abstract_inverted_index":{"Object":[0],"detection":[1],"in":[2,76,125],"cluttered,":[3],"natural":[4],"scenes":[5],"has":[6],"a":[7,82,99,106],"high":[8],"complexity":[9],"since":[10],"many":[11],"local":[12,46,66],"observations":[13],"compete":[14],"for":[15,73],"object":[16,74,110],"hypotheses.":[17,130],"Voting":[18],"methods":[19,54],"provide":[20],"an":[21],"efficient":[22],"solution":[23],"to":[24,32,44,50,56,89],"this":[25],"problem.":[26],"When":[27],"Hough":[28,78,154],"voting":[29,53,87,115,149,155],"is":[30,103],"extended":[31],"location":[33],"and":[34,60],"scale,":[35],"votes":[36],"naturally":[37],"become":[38],"lines":[39,88,116,150],"through":[40],"scale":[41],"space":[42],"due":[43],"the":[45,57,77,119,138,142],"scale-location-ambiguity.":[47],"In":[48,95],"contrast":[49],"this,":[51],"current":[52],"stick":[55],"location-only":[58],"setting":[59],"cast":[61],"point":[62],"votes,":[63],"which":[64],"require":[65],"estimates":[67],"of":[68,86,109,114],"scale.":[69],"Rather":[70],"than":[71],"searching":[72],"hypotheses":[75,93],"accumulator,":[79],"we":[80,97],"propose":[81,98],"weighted,":[83],"pairwise":[84],"clustering":[85,148],"obtain":[90],"globally":[91,127],"consistent":[92,128],"directly.":[94],"essence,":[96],"hierarchical":[100],"approach":[101],"that":[102,147],"based":[104],"on":[105,141],"sparse":[107],"representation":[108],"boundary":[111],"shape.":[112],"Clustering":[113],"(CVL)":[117],"condenses":[118],"information":[120],"from":[121],"these":[122],"edge":[123],"points":[124],"few,":[126],"candidate":[129],"A":[131],"final":[132],"verification":[133],"stage":[134],"concludes":[135],"by":[136],"refining":[137],"candidates.":[139],"Experiments":[140],"ETHZ":[143],"shape":[144],"dataset":[145],"show":[146],"significantly":[151],"improves":[152],"state-of-the-art":[153],"techniques.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":13}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
