{"id":"https://openalex.org/W2120947612","doi":"https://doi.org/10.1109/tpami.2003.1201818","title":"Contour grouping with prior models","display_name":"Contour grouping with prior models","publication_year":2003,"publication_date":"2003-06-01","ids":{"openalex":"https://openalex.org/W2120947612","doi":"https://doi.org/10.1109/tpami.2003.1201818","mag":"2120947612"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2003.1201818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2003.1201818","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-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/A5002268130","display_name":"James H. Elder","orcid":"https://orcid.org/0000-0003-3880-4808"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J.H. Elder","raw_affiliation_strings":["Centre for Vision Research, York University, North York, ONT, Canada","Centre for Vision Research, York University, North York, Ont., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Vision Research, York University, North York, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Centre for Vision Research, York University, North York, Ont., Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020838199","display_name":"Amnon Krupnik","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"A. Krupnik","raw_affiliation_strings":["Department of Civil Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Department of Civil Engineering, Technion-Israel Institute of Technology, Haifa Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Department of Civil Engineering, Technion-Israel Institute of Technology, Haifa Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039611632","display_name":"Leigh A. Johnston","orcid":"https://orcid.org/0000-0002-5032-4674"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"L.A. Johnston","raw_affiliation_strings":["Centre for Vision Research, York University, North York, ONT, Canada","Centre for Vision Research, York University, North York, Ont., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Vision Research, York University, North York, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Centre for Vision Research, York University, North York, Ont., Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5327,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.95100069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"6","first_page":"661","last_page":"674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9961000084877014,"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/prior-probability","display_name":"Prior probability","score":0.8159277439117432},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6710416674613953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6441059708595276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6410551071166992},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6077127456665039},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5589978098869324},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5476386547088623},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.46602392196655273},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4585639238357544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45054304599761963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3617326021194458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33229053020477295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30947840213775635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2668715715408325},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1979222595691681}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8159277439117432},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6710416674613953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6441059708595276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6410551071166992},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6077127456665039},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5589978098869324},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5476386547088623},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.46602392196655273},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4585639238357544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45054304599761963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3617326021194458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33229053020477295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30947840213775635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2668715715408325},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1979222595691681},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2003.1201818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2003.1201818","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.546.3064","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.546.3064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.elderlab.yorku.ca/docs/research/J_Contour.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.659.3927","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.659.3927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://elderlab.yorku.ca/%7Eelder/publications/journals/ElderPAMI03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W84241037","https://openalex.org/W176493608","https://openalex.org/W1491072802","https://openalex.org/W1492432973","https://openalex.org/W1523020081","https://openalex.org/W1523029967","https://openalex.org/W1528420426","https://openalex.org/W1533958237","https://openalex.org/W1558964055","https://openalex.org/W1569826416","https://openalex.org/W1598963550","https://openalex.org/W1748744376","https://openalex.org/W1966661671","https://openalex.org/W1987365705","https://openalex.org/W1992336406","https://openalex.org/W2003750906","https://openalex.org/W2010525503","https://openalex.org/W2024814354","https://openalex.org/W2029209814","https://openalex.org/W2034950948","https://openalex.org/W2035879977","https://openalex.org/W2041404167","https://openalex.org/W2050155990","https://openalex.org/W2057612871","https://openalex.org/W2060565253","https://openalex.org/W2064500284","https://openalex.org/W2065549130","https://openalex.org/W2072529824","https://openalex.org/W2081356243","https://openalex.org/W2082917807","https://openalex.org/W2086921140","https://openalex.org/W2088222928","https://openalex.org/W2096393712","https://openalex.org/W2096580206","https://openalex.org/W2098152234","https://openalex.org/W2104095591","https://openalex.org/W2104564430","https://openalex.org/W2105125008","https://openalex.org/W2108299137","https://openalex.org/W2111692787","https://openalex.org/W2112244800","https://openalex.org/W2121927366","https://openalex.org/W2125020571","https://openalex.org/W2128197592","https://openalex.org/W2128439793","https://openalex.org/W2129104643","https://openalex.org/W2132984323","https://openalex.org/W2133128448","https://openalex.org/W2133138342","https://openalex.org/W2138924334","https://openalex.org/W2139783870","https://openalex.org/W2146498863","https://openalex.org/W2148861411","https://openalex.org/W2149925139","https://openalex.org/W2151061498","https://openalex.org/W2153746365","https://openalex.org/W2154503237","https://openalex.org/W2158188662","https://openalex.org/W2161595292","https://openalex.org/W2166777865","https://openalex.org/W2332457645","https://openalex.org/W2978725006","https://openalex.org/W2993383518","https://openalex.org/W3020921755","https://openalex.org/W3179299791","https://openalex.org/W4233497883","https://openalex.org/W4238293977","https://openalex.org/W4252770108","https://openalex.org/W6607068195","https://openalex.org/W6629660757","https://openalex.org/W6631371180"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W2029790457","https://openalex.org/W1839961359","https://openalex.org/W1935326023","https://openalex.org/W2075146114","https://openalex.org/W2150865841","https://openalex.org/W2100805585","https://openalex.org/W2169353922"],"abstract_inverted_index":{"Conventional":[0],"approaches":[1],"to":[2,79,96,136,203],"perceptual":[3],"grouping":[4],"assume":[5],"little":[6],"specific":[7],"knowledge":[8,22,46,60,150],"about":[9,47],"the":[10,30,34,48,62,65,98,137,159,169,188,193,208],"object(s)":[11],"of":[12,32,37,61,64,106,139,161,171,210],"interest.":[13],"However,":[14],"there":[15],"are":[16,86],"many":[17],"applications":[18],"in":[19,40,214],"which":[20,85],"such":[21,121],"is":[23,50,77,109,195],"available":[24],"and":[25,93,128,164,175],"useful.":[26],"Here,":[27],"we":[28,198],"address":[29],"problem":[31,138],"finding":[33],"bounding":[35],"contour":[36,71,179],"an":[38,41,152],"object":[39,49,66,83],"image":[42],"when":[43],"some":[44],"prior":[45,58,94,149,185],"available.":[51],"We":[52,132,156],"introduce":[53],"a":[54,100,176,204],"framework":[55],"for":[56,70],"combining":[57,90],"probabilistic":[59,68,114],"appearance":[63],"with":[67,117,182],"models":[69],"grouping.":[72],"A":[73,103],"constructive":[74],"search":[75],"technique":[76],"used":[78],"compute":[80,97],"candidate":[81],"closed":[82],"boundaries,":[84],"then":[87],"evaluated":[88],"by":[89,200],"figure,":[91],"ground,":[92],"probabilities":[95],"maximum":[99],"posteriori":[101],"estimate.":[102],"significant":[104],"advantage":[105],"our":[107,162],"formulation":[108],"that":[110,166],"it":[111,167,202],"rigorously":[112],"combines":[113],"local":[115],"cues":[116],"important":[118],"global":[119],"constraints":[120],"as":[122,197],"simplicity":[123],"(no":[124],"self-intersections),":[125],"closure,":[126],"completeness,":[127],"nontrivial":[129],"scale":[130],"priors.":[131],"apply":[133],"this":[134],"approach":[135,194],"computing":[140],"exact":[141],"lake":[142],"boundaries":[143,213],"from":[144,151],"satellite":[145],"imagery,":[146],"given":[147],"approximate":[148],"existing":[153],"digital":[154],"database.":[155],"quantitatively":[157],"evaluate":[158],"performance":[160,170],"algorithm":[163],"find":[165],"exceeds":[168],"human":[172,211],"mapping":[173],"experts":[174],"competing":[177],"active":[178],"approach,":[180],"even":[181],"relatively":[183],"weak":[184],"knowledge.":[186],"While":[187],"priors":[189],"may":[190],"be":[191],"task-specific,":[192],"general,":[196],"demonstrate":[199],"applying":[201],"completely":[205],"different":[206],"problem:":[207],"computation":[209],"skin":[212],"natural":[215],"imagery.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
