{"id":"https://openalex.org/W2095899239","doi":"https://doi.org/10.1109/cvpr.2009.5206782","title":"Extraction of tubular structures over an orientation domain","display_name":"Extraction of tubular structures over an orientation domain","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2095899239","doi":"https://doi.org/10.1109/cvpr.2009.5206782","mag":"2095899239"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206782","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5037171998","display_name":"Micka\u00ebl P\u00e9chaud","orcid":null},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mickael Pechaud","raw_affiliation_strings":["\u00c9cole Normale Sup\u00e9rieure, LIENS, Paris, France","LIENS, Ecole Normale Super., Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Normale Sup\u00e9rieure, LIENS, Paris, France","institution_ids":["https://openalex.org/I29607241"]},{"raw_affiliation_string":"LIENS, Ecole Normale Super., Paris, France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111878926","display_name":"Renaud Keriven","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud Keriven","raw_affiliation_strings":["IMAGINE / LIGM, Universit\u00e9 Paris-Est, Paris, France","IMAGINE / LIGM, Univ. Paris-Est, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMAGINE / LIGM, Universit\u00e9 Paris-Est, Paris, France","institution_ids":["https://openalex.org/I4210152518"]},{"raw_affiliation_string":"IMAGINE / LIGM, Univ. Paris-Est, Paris, France","institution_ids":["https://openalex.org/I4210152518"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058651667","display_name":"Gabriel Peyr\u00e9","orcid":"https://orcid.org/0000-0002-4477-0387"},"institutions":[{"id":"https://openalex.org/I171048554","display_name":"Centre de Recherche en Math\u00e9matiques de la D\u00e9cision","ror":"https://ror.org/03s0gj002","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I171048554","https://openalex.org/I2746051580","https://openalex.org/I4210141950","https://openalex.org/I56435720"]},{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriel Peyre","raw_affiliation_strings":["CEREMADE, Universit\u00e9 Paris Dauphine, Paris, France","CEREMADE University Paris-Dauphine, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEREMADE, Universit\u00e9 Paris Dauphine, Paris, France","institution_ids":["https://openalex.org/I171048554","https://openalex.org/I56435720"]},{"raw_affiliation_string":"CEREMADE University Paris-Dauphine, Paris, France","institution_ids":["https://openalex.org/I171048554","https://openalex.org/I56435720"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"336","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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":0.9987999796867371,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.8371078968048096},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6659212112426758},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.636245846748352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.585464596748352},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.476106733083725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47478196024894714},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47475364804267883},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.46998846530914307},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4684484302997589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4577367305755615},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44319796562194824},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.42395591735839844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3279353976249695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2960127592086792},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2818910777568817},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08868283033370972}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.8371078968048096},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6659212112426758},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.636245846748352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.585464596748352},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.476106733083725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47478196024894714},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47475364804267883},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.46998846530914307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4684484302997589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4577367305755615},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44319796562194824},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.42395591735839844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3279353976249695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2960127592086792},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2818910777568817},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08868283033370972},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1109/cvpr.2009.5206782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206782","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W132869805","https://openalex.org/W1238092070","https://openalex.org/W1501474050","https://openalex.org/W1517038079","https://openalex.org/W1596422927","https://openalex.org/W1606993635","https://openalex.org/W1974954013","https://openalex.org/W2018593404","https://openalex.org/W2022478295","https://openalex.org/W2054113582","https://openalex.org/W2062558938","https://openalex.org/W2080479039","https://openalex.org/W2098979973","https://openalex.org/W2104351284","https://openalex.org/W2105731688","https://openalex.org/W2132381902","https://openalex.org/W2139936493","https://openalex.org/W2143980080","https://openalex.org/W2145023731","https://openalex.org/W2145105092","https://openalex.org/W2145305441","https://openalex.org/W2149640982","https://openalex.org/W2150397492","https://openalex.org/W2150769593","https://openalex.org/W2154734831","https://openalex.org/W2160960948","https://openalex.org/W2181906417","https://openalex.org/W2897484652","https://openalex.org/W6605395728","https://openalex.org/W6630114245","https://openalex.org/W6644006776","https://openalex.org/W6676155154","https://openalex.org/W6683051941"],"related_works":["https://openalex.org/W1978591761","https://openalex.org/W4287661821","https://openalex.org/W3133864228","https://openalex.org/W2941285539","https://openalex.org/W4206698794","https://openalex.org/W3089249579","https://openalex.org/W4286749417","https://openalex.org/W3126955880","https://openalex.org/W1982132340","https://openalex.org/W1161134833"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,26,64],"new":[4],"method":[5,82],"to":[6,80],"extract":[7],"tubular":[8,43],"structures":[9],"from":[10],"bi-dimensional":[11],"images.":[12],"The":[13],"core":[14],"of":[15,22,42,48,66,74],"the":[16,20,40,49,58,72,75],"proposed":[17,76],"algorithm":[18],"is":[19],"computation":[21],"geodesic":[23],"curves":[24],"over":[25,57],"four-dimensional":[27],"space":[28],"that":[29],"includes":[30],"local":[31],"orientation":[32],"and":[33,51,68],"scale.":[34],"These":[35],"shortest":[36,85],"paths":[37,86],"follow":[38],"closely":[39],"centerline":[41],"structures,":[44],"provide":[45],"an":[46],"estimation":[47],"radius":[50],"can":[52],"deal":[53],"robustly":[54],"with":[55,78],"crossings":[56],"image":[59],"plane.":[60],"Numerical":[61],"experiments":[62],"on":[63,84],"database":[65],"synthetic":[67],"natural":[69],"images":[70],"show":[71],"superiority":[73],"approach":[77],"respect":[79],"several":[81],"based":[83],"extractions.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
