{"id":"https://openalex.org/W2060651315","doi":"https://doi.org/10.1109/cvpr.2010.5539904","title":"Object recognition by discriminative combinations of line segments and ellipses","display_name":"Object recognition by discriminative combinations of line segments and ellipses","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2060651315","doi":"https://doi.org/10.1109/cvpr.2010.5539904","mag":"2060651315"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society 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/A5110486737","display_name":"Alex Yong-Sang Chia","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"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":false,"raw_author_name":"Alex Yong-Sang Chia","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","School of Computer Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054558832","display_name":"Susanto Rahardja","orcid":"https://orcid.org/0000-0003-0831-6934"},"institutions":[{"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":false,"raw_author_name":"Susanto Rahardja","raw_affiliation_strings":["Institute for Infocomm Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009372982","display_name":"Deepu Rajan","orcid":"https://orcid.org/0000-0001-7788-8368"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Deepu Rajan","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019015508","display_name":"M.K.H. Leung","orcid":"https://orcid.org/0000-0002-1023-7162"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Maylor Karhang Leung","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2604,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89050782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2225","last_page":"2232"},"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":0.9983000159263611,"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":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9878000020980835,"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":0.9866999983787537,"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/discriminative-model","display_name":"Discriminative model","score":0.8816676139831543},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.7716597318649292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7418521046638489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734668493270874},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6436195969581604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6236770749092102},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5130943059921265},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4566859006881714},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43341463804244995},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4200456440448761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17678716778755188}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8816676139831543},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.7716597318649292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7418521046638489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734668493270874},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6436195969581604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6236770749092102},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5130943059921265},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4566859006881714},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43341463804244995},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4200456440448761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17678716778755188},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5539904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1552060966","https://openalex.org/W1919689106","https://openalex.org/W1972835213","https://openalex.org/W1994376191","https://openalex.org/W1997622868","https://openalex.org/W2039546445","https://openalex.org/W2052916917","https://openalex.org/W2056313036","https://openalex.org/W2078602589","https://openalex.org/W2101504600","https://openalex.org/W2102324552","https://openalex.org/W2103658758","https://openalex.org/W2104280863","https://openalex.org/W2119823327","https://openalex.org/W2128951168","https://openalex.org/W2134475949","https://openalex.org/W2143343451","https://openalex.org/W2154791445","https://openalex.org/W2159589665","https://openalex.org/W2161567010","https://openalex.org/W2546306578","https://openalex.org/W6629341703","https://openalex.org/W6633230002","https://openalex.org/W6633236808","https://openalex.org/W6682519532","https://openalex.org/W6729487920"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2354618530","https://openalex.org/W2081226903","https://openalex.org/W2363452175","https://openalex.org/W2375225935","https://openalex.org/W2131998656","https://openalex.org/W2364636467"],"abstract_inverted_index":{"We":[0,33,48,93],"present":[1],"a":[2,55,70,81,88],"contour":[3,102,137],"based":[4,103,138],"approach":[5,96],"to":[6,29,53,64,67,90],"object":[7,131],"recognition":[8],"in":[9],"real-world":[10],"images.":[11],"Contours":[12],"are":[13,115],"represented":[14],"by":[15],"generic":[16,76],"shape":[17,38,46,85],"primitives":[18,25,36],"of":[19,45,58,78,83,87],"line":[20],"segments":[21],"and":[22,40,100,130],"ellipses.":[23],"These":[24],"offer":[26],"substantial":[27],"flexibility":[28],"model":[30],"complex":[31],"shapes.":[32],"pair":[34],"connected":[35],"as":[37],"tokens,":[39,59],"learn":[41],"category":[42,89],"specific":[43],"combinations":[44,52],"tokens.":[47],"do":[49],"not":[50],"restrict":[51],"have":[54],"fixed":[56],"number":[57],"but":[60],"allow":[61],"each":[62],"combination":[63],"flexibly":[65],"evolve":[66],"best":[68,136],"represent":[69],"category.":[71],"This,":[72],"coupled":[73],"with":[74,97],"the":[75,120,135],"nature":[77],"primitives,":[79],"enables":[80],"variety":[82],"discriminative":[84],"structures":[86],"be":[91],"learned.":[92],"compare":[94],"our":[95],"related":[98],"methods":[99],"state-of-the-art":[101],"approaches":[104],"on":[105,119],"two":[106],"demanding":[107],"datasets":[108],"across":[109],"17":[110],"categories.":[111],"Highly":[112],"competitive":[113],"results":[114,133,139],"obtained.":[116],"In":[117],"particular,":[118],"challenging":[121],"Weizmann":[122],"horse":[123],"dataset,":[124],"we":[125],"attain":[126],"improved":[127],"image":[128],"classification":[129],"detection":[132],"over":[134],"published":[140],"so":[141],"far.":[142]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}