{"id":"https://openalex.org/W2167716896","doi":"https://doi.org/10.1109/cvpr.2008.4587488","title":"Detection and matching of rectilinear structures","display_name":"Detection and matching of rectilinear structures","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2167716896","doi":"https://doi.org/10.1109/cvpr.2008.4587488","mag":"2167716896"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5066067492","display_name":"Branislav Mi\u010du\u0161\u00edk","orcid":"https://orcid.org/0000-0003-3896-9848"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Branislav Micusik","raw_affiliation_strings":["George Mason University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007281586","display_name":"Horst Wildenauer","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Wildenauer","raw_affiliation_strings":["Vienna University of Technology, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086078885","display_name":"Jana Ko\u0161eck\u00e1","orcid":"https://orcid.org/0000-0003-4619-3277"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jana Kosecka","raw_affiliation_strings":["George Mason University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.97367123,"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":"1","last_page":"7"},"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":0.9997000098228455,"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":0.9995999932289124,"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/rectangle","display_name":"Rectangle","score":0.8690102696418762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913268566131592},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6700845956802368},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6598098278045654},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6571025848388672},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.6388176679611206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863542556762695},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5092366933822632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49606427550315857},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.49148404598236084},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4852990508079529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.414914608001709},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35062676668167114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2561548948287964},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13148817420005798},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10573020577430725}],"concepts":[{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.8690102696418762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913268566131592},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6700845956802368},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6598098278045654},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6571025848388672},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.6388176679611206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863542556762695},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5092366933822632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49606427550315857},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.49148404598236084},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4852990508079529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.414914608001709},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35062676668167114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2561548948287964},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13148817420005798},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10573020577430725},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2008.4587488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1552966246","https://openalex.org/W1576255805","https://openalex.org/W1976505869","https://openalex.org/W1986599212","https://openalex.org/W2033819227","https://openalex.org/W2062068537","https://openalex.org/W2106595755","https://openalex.org/W2111137905","https://openalex.org/W2124297750","https://openalex.org/W2125310925","https://openalex.org/W2135414191","https://openalex.org/W2138821028","https://openalex.org/W2143753158","https://openalex.org/W2151103935","https://openalex.org/W2161223669","https://openalex.org/W2164918853","https://openalex.org/W2170050278","https://openalex.org/W2172188317","https://openalex.org/W6678796163"],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W4224881918","https://openalex.org/W2003462717","https://openalex.org/W2802042052","https://openalex.org/W174828583","https://openalex.org/W1987609185","https://openalex.org/W2321986606","https://openalex.org/W2059098648","https://openalex.org/W2012324080"],"abstract_inverted_index":{"Indoor":[0],"and":[1,13,29,41,106,132],"outdoor":[2],"urban":[3],"environments":[4],"posses":[5],"many":[6],"regularities":[7],"which":[8],"can":[9],"be":[10],"efficiently":[11],"exploited":[12],"used":[14],"for":[15,25,33],"general":[16],"image":[17],"parsing":[18],"tasks.":[19],"We":[20],"present":[21],"a":[22,47,65],"novel":[23],"approach":[24],"detecting":[26],"rectilinear":[27,62],"structures":[28,63,131],"demonstrate":[30],"their":[31],"use":[32,111],"wide":[34,122],"baseline":[35,123],"stereo":[36],"matching,":[37],"planar":[38],"3D":[39],"reconstruction,":[40],"computation":[42],"of":[43,49,60,87,112,120,129],"geometric":[44],"context.":[45],"Assuming":[46],"presence":[48,128],"dominant":[50],"orthogonal":[51],"vanishing":[52],"directions,":[53],"we":[54],"proceed":[55],"by":[56],"formulating":[57],"the":[58,61,77,84,88,118,127],"detection":[59],"as":[64,83,99,101],"labeling":[66],"problem":[67],"on":[68],"detected":[69,113],"line":[70,73],"segments.":[71],"The":[72,91,110],"segment":[74],"labels,":[75],"respecting":[76],"proposed":[78,92],"grammar":[79],"rules,":[80],"are":[81],"established":[82],"MAP":[85],"assignment":[86],"corresponding":[89],"MRF.":[90],"framework":[93],"allows":[94],"to":[95],"detect":[96],"both":[97],"full":[98],"well":[100],"partial":[102],"rectangles,":[103],"rectangle-in-rectangle":[104],"structures,":[105],"rectangles":[107,114],"sharing":[108],"edges.":[109],"is":[115],"demonstrated":[116],"in":[117,126],"context":[119],"difficult":[121],"matching":[124],"tasks":[125],"repetitive":[130],"large":[133],"appearance":[134],"changes.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}