{"id":"https://openalex.org/W2161337641","doi":"https://doi.org/10.1109/iccv.2009.5459410","title":"Efficient, high-quality image contour detection","display_name":"Efficient, high-quality image contour detection","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2161337641","doi":"https://doi.org/10.1109/iccv.2009.5459410","mag":"2161337641"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459410","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/A5066242985","display_name":"Bryan Catanzaro","orcid":"https://orcid.org/0000-0003-0034-7728"},"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":"Bryan Catanzaro","raw_affiliation_strings":["EECS Department, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028514073","display_name":"Bor-Yiing Su","orcid":null},"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":"Bor-Yiing Su","raw_affiliation_strings":["EECS Department, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110744540","display_name":"Narayanan Sundaram","orcid":null},"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":"Narayanan Sundaram","raw_affiliation_strings":["EECS Department, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085686711","display_name":"Yunsup Lee","orcid":null},"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":"Yunsup Lee","raw_affiliation_strings":["EECS Department, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050099751","display_name":"Mark Murphy","orcid":"https://orcid.org/0000-0002-9735-7887"},"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":"Mark Murphy","raw_affiliation_strings":["EECS Department, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047285420","display_name":"Kurt Keutzer","orcid":"https://orcid.org/0000-0003-3868-8501"},"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":"Kurt Keutzer","raw_affiliation_strings":["EECS Department, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066242985"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":13.1229,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.99028189,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2381","last_page":"2388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.7783485054969788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7357571721076965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6559277176856995},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5630943179130554},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5569578409194946},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5481975674629211},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5269661545753479},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5180516242980957},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.48213478922843933},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.463499516248703},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45582494139671326},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4462505578994751},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4302847981452942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4037564992904663},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05449944734573364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783485054969788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7357571721076965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6559277176856995},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5630943179130554},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5569578409194946},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5481975674629211},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5269661545753479},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5180516242980957},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.48213478922843933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.463499516248703},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45582494139671326},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4462505578994751},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4302847981452942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4037564992904663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05449944734573364},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459410","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:10.1.1.182.3784","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.3784","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/%7Ecatanzar/Damascene/iccv2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522512418","https://openalex.org/W1528420426","https://openalex.org/W1557953328","https://openalex.org/W1964217357","https://openalex.org/W1980357388","https://openalex.org/W2086374833","https://openalex.org/W2098800028","https://openalex.org/W2103897297","https://openalex.org/W2107634464","https://openalex.org/W2116046277","https://openalex.org/W2121082877","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2128853364","https://openalex.org/W2159969603","https://openalex.org/W2160619799","https://openalex.org/W2171330332","https://openalex.org/W2313114995","https://openalex.org/W4230094279","https://openalex.org/W6631868196","https://openalex.org/W6633274815","https://openalex.org/W6641074140","https://openalex.org/W6675696854","https://openalex.org/W6683874532"],"related_works":["https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W2312819198","https://openalex.org/W4388208420","https://openalex.org/W3036032503","https://openalex.org/W2941415828","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4312753625"],"abstract_inverted_index":{"Image":[0],"contour":[1,21,49,74,88,92,121,148],"detection":[2,22,122,149],"is":[3,105],"fundamental":[4],"to":[5,55,110,137],"many":[6,155],"image":[7,11,20,48,57,120,139,147],"analysis":[8,58],"applications,":[9],"including":[10],"segmentation,":[12],"object":[13],"recognition":[14],"and":[15,130],"classification.":[16],"However,":[17],"highly":[18,81,145],"accurate":[19,146],"algorithms":[23,45,71,132],"are":[24,135],"also":[25],"very":[26],"computationally":[27],"intensive,":[28],"which":[29],"limits":[30],"their":[31],"applicability,":[32],"even":[33],"for":[34,46],"offline":[35],"batch":[36],"processing.":[37],"In":[38],"this":[39],"work,":[40],"we":[41,116,133],"examine":[42],"efficient":[43],"parallel":[44],"performing":[47],"detection,":[50],"with":[51,77,94],"particular":[52],"attention":[53],"paid":[54],"local":[56],"as":[59,61],"well":[60],"the":[62,100,131],"generalized":[63],"eigensolver":[64],"used":[65],"in":[66,154],"Normalized":[67],"Cuts.":[68],"Combining":[69],"these":[70],"into":[72],"a":[73],"detector,":[75],"along":[76],"careful":[78],"implementation":[79],"on":[80,99,123],"parallel,":[82],"commodity":[83],"processors":[84],"from":[85,107],"Nvidia,":[86],"our":[87],"detector":[89],"provides":[90],"uncompromised":[91],"accuracy,":[93],"an":[95],"F-metric":[96],"of":[97],"0.70":[98],"Berkeley":[101],"Segmentation":[102],"Dataset.":[103],"Runtime":[104],"reduced":[106],"4":[108],"minutes":[109],"1.8":[111],"seconds.":[112],"The":[113],"efficiency":[114],"gains":[115],"realize":[117],"enable":[118],"high-quality":[119],"much":[124],"larger":[125],"images":[126],"than":[127],"previously":[128],"practical,":[129],"propose":[134],"applicable":[136],"several":[138],"segmentation":[140],"approaches.":[141],"Efficient,":[142],"scalable,":[143],"yet":[144],"will":[150],"facilitate":[151],"increased":[152],"performance":[153],"computer":[156],"vision":[157],"applications.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":15}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
