{"id":"https://openalex.org/W1969213571","doi":"https://doi.org/10.1109/cvprw.2012.6238927","title":"On evaluating methods for recovering image curve fragments","display_name":"On evaluating methods for recovering image curve fragments","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1969213571","doi":"https://doi.org/10.1109/cvprw.2012.6238927","mag":"1969213571"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2012.6238927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2012.6238927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5108058503","display_name":"Yuliang Guo","orcid":"https://orcid.org/0000-0002-1934-0027"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"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":"Yuliang Guo","raw_affiliation_strings":["Division of Engineering, Brown University, USA","Brown University, Division of Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Engineering, Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Brown University, Division of Engineering#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/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"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 Kimia","raw_affiliation_strings":["Division of Engineering, Brown University, USA","Brown University, Division of Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Engineering, Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Brown University, Division of Engineering#TAB#","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8329,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73552047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5303","issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9997000098228455,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9997000098228455,"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":0.9965000152587891,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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/fragment","display_name":"Fragment (logic)","score":0.6716278791427612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5951715707778931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5917716026306152},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.5829471945762634},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5408225059509277},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5068288445472717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5047212839126587},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5043877363204956},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4968247711658478},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.49562251567840576},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49079832434654236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4437279999256134},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4397854208946228},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41915658116340637},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.41128429770469666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4096010625362396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4015626609325409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3136788010597229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31332290172576904},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2618771195411682},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2155490219593048}],"concepts":[{"id":"https://openalex.org/C2776235265","wikidata":"https://www.wikidata.org/wiki/Q18392052","display_name":"Fragment (logic)","level":2,"score":0.6716278791427612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5951715707778931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5917716026306152},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5829471945762634},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5408225059509277},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5068288445472717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5047212839126587},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5043877363204956},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4968247711658478},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.49562251567840576},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49079832434654236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4437279999256134},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4397854208946228},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41915658116340637},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.41128429770469666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4096010625362396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4015626609325409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3136788010597229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31332290172576904},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2618771195411682},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2155490219593048},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":1,"locations":[{"id":"doi:10.1109/cvprw.2012.6238927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2012.6238927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1518636435","https://openalex.org/W1539775372","https://openalex.org/W1956660673","https://openalex.org/W1970596703","https://openalex.org/W1975559841","https://openalex.org/W2006022692","https://openalex.org/W2039788167","https://openalex.org/W2067164770","https://openalex.org/W2086374833","https://openalex.org/W2096316207","https://openalex.org/W2099367303","https://openalex.org/W2106238539","https://openalex.org/W2110158442","https://openalex.org/W2115193009","https://openalex.org/W2119823327","https://openalex.org/W2120931403","https://openalex.org/W2121927366","https://openalex.org/W2128197592","https://openalex.org/W2129119440","https://openalex.org/W2160411867","https://openalex.org/W2165544906","https://openalex.org/W2165914352","https://openalex.org/W2166777865","https://openalex.org/W6660336569"],"related_works":["https://openalex.org/W1973480752","https://openalex.org/W2805502594","https://openalex.org/W3132641048","https://openalex.org/W4253208712","https://openalex.org/W31439402","https://openalex.org/W2217679042","https://openalex.org/W1603677234","https://openalex.org/W2006673626","https://openalex.org/W185820115","https://openalex.org/W2384347880"],"abstract_inverted_index":{"Curve":[0],"fragments,":[1],"as":[2,20],"opposed":[3],"to":[4,179],"unorganized":[5],"edge":[6,184],"elements,":[7],"are":[8,54,61],"of":[9,17,32,77,88,104,124,137,150,172,183],"interest":[10],"and":[11,26,100,116],"use":[12],"in":[13,41,113,134,161],"a":[14,118],"large":[15,30],"number":[16,31],"applications":[18],"such":[19],"multiview":[21],"reconstructions,":[22],"tracking,":[23],"motion-based":[24],"segmentation,":[25],"object":[27],"recognition.":[28],"A":[29],"contour":[33,64,98,173,189],"grouping":[34],"algorithms":[35],"have":[36],"been":[37,45],"developed,":[38],"but":[39,110],"progress":[40],"this":[42,162],"area":[43],"has":[44],"hampered":[46],"by":[47,147],"the":[48,75,86,102,131,135,165,169,181,187],"fact":[49],"that":[50,68],"current":[51],"evaluation":[52,70],"methodologies":[53],"mainly":[55],"edge-based,":[56],"thus":[57],"ignoring":[58],"how":[59],"edges":[60],"grouped":[62],"into":[63,129],"segments.":[65],"We":[66],"show":[67],"edge-based":[69],"schemes":[71],"work":[72],"poorly":[73],"for":[74,120],"comparison":[76],"curve":[78,125,138,144],"fragment":[79,145,190],"maps,":[80],"motivating":[81],"two":[82,122,143,170],"novel":[83],"developments:":[84],"(i)":[85],"collection":[87,105],"new":[89,188],"human":[90,191],"ground":[91,192],"truth":[92],"data":[93],"whose":[94],"primary":[95],"representation":[96],"is":[97,106,177],"fragments":[99,126],"where":[101],"goal":[103],"not":[107],"distinguished":[108],"objects":[109],"curves":[111],"evident":[112],"image":[114],"data,":[115],"(ii)":[117],"methodology":[119],"comparing":[121],"sets":[123,146,171],"which":[127],"takes":[128],"account":[130],"instabilities":[132],"inherent":[133],"formation":[136],"fragments.":[139],"The":[140,158],"approach":[141,176],"compares":[142],"exploring":[148],"deformation":[149],"one":[151],"onto":[152],"another":[153],"while":[154],"traversing":[155],"discontinuous":[156],"transitions.":[157],"geodesic":[159],"paths":[160],"space":[163],"represent":[164],"best":[166],"matching":[167],"between":[168],"fragment.":[174],"This":[175],"used":[178],"compare":[180],"results":[182],"linkers":[185],"on":[186],"truth.":[193]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
