{"id":"https://openalex.org/W2155785158","doi":"https://doi.org/10.1109/cvprw.2009.5204212","title":"Estimating object region from local contour configuration","display_name":"Estimating object region from local contour configuration","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2155785158","doi":"https://doi.org/10.1109/cvprw.2009.5204212","mag":"2155785158"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204212","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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 Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Estimating_Object_Region_from_Local_Contour_Configuration/6554762","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089707066","display_name":"Tetsuaki Suzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuaki Suzuki","raw_affiliation_strings":["NEC Corporation Limited, Kawasaki, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075246991","display_name":"Martial Hebert","orcid":"https://orcid.org/0000-0003-4566-5930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martial Hebert","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089707066"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12507481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"69","last_page":"76"},"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/T10627","display_name":"Advanced Image and Video Retrieval 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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9991999864578247,"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/boundary","display_name":"Boundary (topology)","score":0.7732477784156799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.761650562286377},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7355279922485352},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6981886029243469},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6980718374252319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6919819116592407},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6421035528182983},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6388816833496094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5960189700126648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5792486071586609},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5556787252426147},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5292748212814331},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4759742319583893},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.45943376421928406},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.44833970069885254},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4354691505432129},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3818240165710449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12465968728065491}],"concepts":[{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.7732477784156799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.761650562286377},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7355279922485352},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6981886029243469},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6980718374252319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6919819116592407},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6421035528182983},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6388816833496094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5960189700126648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5792486071586609},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5556787252426147},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5292748212814331},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4759742319583893},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.45943376421928406},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.44833970069885254},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4354691505432129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3818240165710449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12465968728065491},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cvprw.2009.5204212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204212","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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 Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:robotics-1327","is_oa":false,"landing_page_url":"http://repository.cmu.edu/robotics/328","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Robotics Institute","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6554762","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:figshare.com:article/6554762","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Estimating_Object_Region_from_Local_Contour_Configuration/6554762","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.1184/r1/6554762.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6554762.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/6554762","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Estimating_Object_Region_from_Local_Contour_Configuration/6554762","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1518641734","https://openalex.org/W1531486232","https://openalex.org/W1919689106","https://openalex.org/W1999478155","https://openalex.org/W2019909743","https://openalex.org/W2060448540","https://openalex.org/W2067191022","https://openalex.org/W2086374833","https://openalex.org/W2096590577","https://openalex.org/W2103380420","https://openalex.org/W2104500064","https://openalex.org/W2115084814","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2123602281","https://openalex.org/W2125517551","https://openalex.org/W2127948493","https://openalex.org/W2137401668","https://openalex.org/W2141376824","https://openalex.org/W2159770736","https://openalex.org/W2161567010","https://openalex.org/W2161969291","https://openalex.org/W2167897892","https://openalex.org/W2168709984","https://openalex.org/W3214102110","https://openalex.org/W6631799520","https://openalex.org/W6639956668","https://openalex.org/W6677945368","https://openalex.org/W6678891797","https://openalex.org/W6679027758","https://openalex.org/W6684521310","https://openalex.org/W7009134754"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2551987074","https://openalex.org/W2553765490","https://openalex.org/W3144569342","https://openalex.org/W2785294226","https://openalex.org/W326224813","https://openalex.org/W2372421320","https://openalex.org/W2150504945","https://openalex.org/W3152412130","https://openalex.org/W4313052709"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"explore":[4],"ways":[5],"to":[6,13,17,24,38,83,125],"combine":[7],"boundary":[8,54,65,93],"information":[9,21,104],"and":[10,67,120],"region":[11,74,79,121],"segmentation":[12,80,87,111,122],"estimate":[14],"regions":[15],"corresponding":[16,72],"foreground":[18,40],"objects.":[19],"Boundary":[20],"is":[22,43,81,89,106],"used":[23,82,107],"generate":[25,84],"an":[26],"object":[27,73,130],"likelihood":[28,33,119],"image":[29],"which":[30],"encodes":[31],"the":[32,61,71,76,92,127],"that":[34,88],"each":[35],"pixel":[36],"belongs":[37],"a":[39,50,85,97,110,113],"object.":[41],"This":[42],"done":[44],"by":[45,59],"combining":[46],"evidence":[47],"gathered":[48],"from":[49,112],"large":[51],"number":[52],"of":[53,70,96,99,115],"fragments":[55,94],"on":[56],"training":[57],"images":[58],"exploiting":[60],"relation":[62],"between":[63],"local":[64],"shape":[66],"relative":[68],"location":[69],"in":[75],"image.":[77],"A":[78,102],"likely":[86],"consistent":[90],"with":[91],"out":[95],"set":[98,114],"multiple":[100,116],"segmentations.":[101,117],"mutual":[103],"criterion":[105],"for":[108],"selecting":[109],"Object":[118],"are":[123],"combined":[124],"yield":[126],"final":[128],"proposed":[129],"region(s).":[131]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
