{"id":"https://openalex.org/W2058918386","doi":"https://doi.org/10.1109/icip.2014.7025964","title":"A contrario detection of good continuation of points","display_name":"A contrario detection of good continuation of points","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2058918386","doi":"https://doi.org/10.1109/icip.2014.7025964","mag":"2058918386"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102805247","display_name":"Jos\u00e9 Lezama","orcid":"https://orcid.org/0009-0002-2936-875X"},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]},{"id":"https://openalex.org/I4210150889","display_name":"Center for MathematicaL studies and their Applications","ror":"https://ror.org/05pabaz56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210141950","https://openalex.org/I4210150889"]}],"countries":["FR","UY"],"is_corresponding":false,"raw_author_name":"Jose Lezama","raw_affiliation_strings":["CMLA, France","Universidad de la Rep\u00fablica, Uruguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA, France","institution_ids":["https://openalex.org/I4210150889"]},{"raw_affiliation_string":"Universidad de la Rep\u00fablica, Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102888110","display_name":"Rafael Grompone von Gioi","orcid":"https://orcid.org/0000-0002-6309-7116"},"institutions":[{"id":"https://openalex.org/I4210150889","display_name":"Center for MathematicaL studies and their Applications","ror":"https://ror.org/05pabaz56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210141950","https://openalex.org/I4210150889"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Rafael Grompone von Gioi","raw_affiliation_strings":["CMLA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA, France","institution_ids":["https://openalex.org/I4210150889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107891323","display_name":"Gr\u00e9gory Randall","orcid":null},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Gregory Randall","raw_affiliation_strings":["Universidad de la Rep\u00fablica, Uruguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de la Rep\u00fablica, Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057798674","display_name":"Jean\u2010Michel Morel","orcid":"https://orcid.org/0000-0002-6108-897X"},"institutions":[{"id":"https://openalex.org/I4210150889","display_name":"Center for MathematicaL studies and their Applications","ror":"https://ror.org/05pabaz56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210141950","https://openalex.org/I4210150889"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Morel","raw_affiliation_strings":["CMLA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA, France","institution_ids":["https://openalex.org/I4210150889"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4757","last_page":"4761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.9091017246246338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6184192895889282},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5724083781242371},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5615646839141846},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5520240068435669},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.545719563961029},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.44820430874824524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38920801877975464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34314244985580444}],"concepts":[{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.9091017246246338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184192895889282},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5724083781242371},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5615646839141846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5520240068435669},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.545719563961029},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.44820430874824524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38920801877975464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34314244985580444},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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":18,"referenced_works":["https://openalex.org/W1513966746","https://openalex.org/W1533452257","https://openalex.org/W1545423298","https://openalex.org/W1558317476","https://openalex.org/W1655654231","https://openalex.org/W1974804467","https://openalex.org/W1998062602","https://openalex.org/W1998358957","https://openalex.org/W2000469873","https://openalex.org/W2006187473","https://openalex.org/W2040553845","https://openalex.org/W2059531554","https://openalex.org/W2129104643","https://openalex.org/W2145812087","https://openalex.org/W2151823074","https://openalex.org/W3012483050","https://openalex.org/W3099495886","https://openalex.org/W4293052488"],"related_works":["https://openalex.org/W1593175091","https://openalex.org/W3039810647","https://openalex.org/W4327521413","https://openalex.org/W823300309","https://openalex.org/W2385281989","https://openalex.org/W2752358874","https://openalex.org/W2766800049","https://openalex.org/W2501344691","https://openalex.org/W2508759649","https://openalex.org/W4384565558"],"abstract_inverted_index":{"We":[0,31],"will":[1],"consider":[2],"the":[3,21,28,44,52,56,83,94,100],"problem":[4],"of":[5,8,23,67,74,104],"detecting":[6],"configurations":[7],"points":[9,38,105],"regularly":[10],"spaced":[11],"and":[12,69,89],"lying":[13],"on":[14,51,87],"a":[15,33,53,60,65],"smooth":[16],"curve.":[17],"This":[18],"corresponds":[19],"to":[20,98],"notion":[22],"good":[24,107],"continuation":[25],"introduced":[26],"in":[27,106],"Gestalt":[29],"theory.":[30],"present":[32],"robust":[34],"algorithm":[35],"for":[36,64],"clustering":[37],"along":[39],"such":[40,75],"curves,":[41],"whilst":[42],"at":[43],"same":[45],"time":[46],"discarding":[47],"noisy":[48],"samples.":[49],"Based":[50],"contrario":[54],"methodology,":[55],"detector":[57],"builds":[58],"upon":[59],"simple,":[61],"symmetric":[62],"primitive":[63],"triplet":[66],"points,":[68],"finds":[70],"statistically":[71],"meaningful":[72],"chains":[73],"triplets.":[76],"An":[77],"efficient":[78],"implementation":[79],"is":[80,96],"proposed":[81],"using":[82],"Floyd-Warshall":[84],"algorithm.":[85],"Experiments":[86],"synthetic":[88],"real":[90],"data":[91],"show":[92],"that":[93],"method":[95],"able":[97],"identify":[99],"perceptually":[101],"relevant":[102],"configuration":[103],"continuation.":[108]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
