{"id":"https://openalex.org/W2096316207","doi":"https://doi.org/10.1109/iccv.2007.4408919","title":"No Grouping Left Behind: From Edges to Curve Fragments","display_name":"No Grouping Left Behind: From Edges to Curve Fragments","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2096316207","doi":"https://doi.org/10.1109/iccv.2007.4408919","mag":"2096316207"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4408919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th 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/A5039935479","display_name":"Amir Tamrakar","orcid":"https://orcid.org/0009-0004-7318-6288"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amir Tamrakar","raw_affiliation_strings":["LEMS, Brown University, Providence, RI, USA","Brown University, Providence#TAB#"],"affiliations":[{"raw_affiliation_string":"LEMS, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Brown University, Providence#TAB#","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083461641","display_name":"Benjamin B. Kimia","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin B. Kimia","raw_affiliation_strings":["LEMS, Brown University, Providence, RI, USA","Brown University, Providence#TAB#"],"affiliations":[{"raw_affiliation_string":"LEMS, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Brown University, Providence#TAB#","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039935479"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":2.3016,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88972353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.6697359681129456},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6376638412475586},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5688123106956482},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5521824359893799},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5468969345092773},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5025572776794434},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5010182857513428},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.47538816928863525},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.4235674738883972},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4218413829803467},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.39698076248168945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36370736360549927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3567175269126892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35326236486434937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3274490237236023},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22420600056648254},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.13375431299209595}],"concepts":[{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.6697359681129456},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6376638412475586},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5688123106956482},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5521824359893799},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5468969345092773},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5025572776794434},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5010182857513428},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.47538816928863525},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.4235674738883972},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4218413829803467},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.39698076248168945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36370736360549927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3567175269126892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35326236486434937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3274490237236023},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22420600056648254},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.13375431299209595},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2007.4408919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.6685","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.6685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lems.brown.edu/vision/publications/Kimia's_Publication/Conferences/Tamrakar-Kimia-ICCV07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1554023438","https://openalex.org/W1558964055","https://openalex.org/W1956660673","https://openalex.org/W1975559841","https://openalex.org/W2052441941","https://openalex.org/W2057175746","https://openalex.org/W2108927102","https://openalex.org/W2111692787","https://openalex.org/W2117193984","https://openalex.org/W2121927366","https://openalex.org/W2123602281","https://openalex.org/W2142707712","https://openalex.org/W2143343451","https://openalex.org/W2146557250","https://openalex.org/W2151103935","https://openalex.org/W2152109057","https://openalex.org/W2158188662","https://openalex.org/W2160671761","https://openalex.org/W2162115453","https://openalex.org/W2166000053","https://openalex.org/W2740373864","https://openalex.org/W4238631134","https://openalex.org/W6633730487","https://openalex.org/W6676267127"],"related_works":["https://openalex.org/W2143551613","https://openalex.org/W4245395944","https://openalex.org/W1979740464","https://openalex.org/W2138823233","https://openalex.org/W2143345456","https://openalex.org/W2023236823","https://openalex.org/W1789991335","https://openalex.org/W2562731034","https://openalex.org/W2101053337","https://openalex.org/W1546993490"],"abstract_inverted_index":{"We":[0,50,129],"present":[1],"a":[2,44,52,74,86,94,105,115],"framework":[3,137],"for":[4],"extracting":[5],"image":[6],"contours":[7],"based":[8,36],"on":[9,37],"geometric":[10],"and":[11,18,58,78,133],"structural":[12],"consistency":[13],"among":[14],"edge":[15,32,56],"element":[16],"locations":[17],"orientations.":[19],"The":[20,109],"paper":[21],"presents":[22],"two":[23],"contributions.":[24],"First,":[25],"we":[26,66],"observe":[27],"that":[28,60,81,135],"while":[29],"the":[30],"traditional":[31,139],"orientation":[33,40],"operators":[34],"are":[35,82,127],"first-order":[38],"derivatives,":[39],"as":[41],"tangent":[42],"of":[43,71,96,100,107,117],"localized":[45],"curve":[46,89,111],"requires":[47],"third-order":[48,55,87],"derivatives.":[49],"derive":[51],"numerically":[53],"stable":[54],"operator":[57],"show":[59,134],"it":[61],"outperforms":[62,138],"current":[63],"techniques.":[64],"Second,":[65],"consider":[67],"all":[68,118],"discrete":[69,98],"n-tuples":[70],"edges":[72],"in":[73,93],"local":[75,88,120],"neighborhood":[76],"(7times7)":[77],"retain":[79],"those":[80],"geometrically":[83],"consistent":[84],"with":[85],"model.":[90],"This":[91],"results":[92,132],"number":[95],"ordered":[97],"combinations":[99],"edges,":[101],"each":[102],"represented":[103],"by":[104],"bundle":[106,112],"curves.":[108],"resulting":[110],"map":[113],"is":[114],"representation":[116],"possible":[119],"groupings":[121],"from":[122],"which":[123],"longer":[124],"contour":[125,142],"fragments":[126],"constructed.":[128],"validate":[130],"our":[131,136],"approaches":[140],"to":[141],"extraction.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}