{"id":"https://openalex.org/W2148487901","doi":"https://doi.org/10.1109/tpami.2003.1201816","title":"Guest editors' introduction to the special section on perceptual organization in computer vision","display_name":"Guest editors' introduction to the special section on perceptual organization in computer vision","publication_year":2003,"publication_date":"2003-06-01","ids":{"openalex":"https://openalex.org/W2148487901","doi":"https://doi.org/10.1109/tpami.2003.1201816","mag":"2148487901"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2003.1201816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2003.1201816","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/A5108792867","display_name":"David W. Jacobs","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D.W. Jacobs","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072392744","display_name":"Michael Lindenbaum","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":"M. Lindenbaum","raw_affiliation_strings":["Computer Science Department, Technion-Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108792867"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.28073329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"25","issue":"6","first_page":"641","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9435999989509583,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9139000177383423,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.839964747428894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813117265701294},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6653585433959961},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5646858215332031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5450184941291809},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5283325910568237},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48080387711524963},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4719996452331543},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4431513547897339},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42966774106025696},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34079045057296753}],"concepts":[{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.839964747428894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813117265701294},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6653585433959961},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5646858215332031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450184941291809},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5283325910568237},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48080387711524963},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4719996452331543},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4431513547897339},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42966774106025696},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34079045057296753},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/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/tpami.2003.1201816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2003.1201816","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"THIS":[0],"issue":[1,9,19,225],"contains":[2],"the":[3,7,17,49,56,63,102,113,139,142,154,184,258,292,303,311,320],"second":[4],"installment":[5],"of":[6,20,55,65,92,95,101,141,156,186,189,217,236,255,260,276,282,294,319,322,324],"special":[8,50,312],"on":[10,183,239,302],"perceptual":[11,61,247,295],"organization":[12,296],"in":[13,48,60,161,195,263],"computer":[14],"vision.":[15],"In":[16,112],"April":[18],"TPAMI,":[21],"we":[22,269],"published":[23],"11":[24],"papers":[25,34,268],"addressing":[26],"basic":[27],"principles,":[28],"algorithms,":[29,97],"and":[30,39,83,89,120,166,278,299],"applications.":[31],"This":[32,198],"month\u2019s":[33],"continue":[35,306],"along":[36],"these":[37,325],"lines":[38],"raising":[40],"new":[41],"issues":[42],"as":[43,173],"well.":[44],"The":[45,266],"first":[46],"paper":[47],"section":[51,313],"contributes":[52],"to":[53,68,110,153,200,246,307],"one":[54],"most":[57],"significant":[58],"trends":[59],"organization,":[62],"use":[64],"graph":[66,96,171,190],"algorithms":[67,104,172],"efficiently":[69],"find":[70,288],"regions":[71],"that":[72,99,130,192,205,223],"globally":[73,207],"optimize,":[74,77],"or":[75],"approximately":[76],"a":[78,93,124,174,179,196,201,215,233,252,273,280,316],"grouping":[79,129,133,175],"property.":[80],"P.":[81],"Soundararajan":[82],"S.":[84,164],"Sarkar":[85],"present":[86,178],"an":[87,243],"analysis":[88],"experimental":[90],"evaluation":[91],"set":[94,216,235],"showing":[98],"some":[100],"common":[103],"are":[105,193,297],"practically":[106],"equivalent":[107],"with":[108,135,227],"respect":[109],"performance.":[111],"next":[114],"paper,":[115,230],"J.H.":[116],"Elder,":[117],"A.":[118],"Krupnik,":[119],"L.A.":[121],"Johnston":[122],"describe":[123],"probabilistic":[125],"formulation":[126],"for":[127],"contour":[128],"combines":[131],"Gestalt":[132],"cues":[134],"prior":[136],"knowledge":[137],"about":[138],"shape":[140],"objects":[143],"whose":[144],"boundary":[145],"is":[146,221],"being":[147],"detected.":[148],"They":[149,177],"apply":[150],"this":[151,289],"approach":[152],"problem":[155,304],"detecting":[157],"exact":[158],"lake":[159],"boundaries":[160],"satellite":[162],"imagery.":[163],"Wang":[165],"J.M.":[167],"Siskind":[168],"also":[169],"study":[170],"mechanism.":[176],"novel":[180],"algorithm":[181,204],"based":[182],"ratio":[185],"two":[187],"properties":[188],"edges":[191],"cut":[194],"segmentation.":[197],"leads":[199],"polynomial":[202],"time":[203],"finds":[206],"optimal":[208],"groupings,":[209],"which":[210,231],"they":[211],"then":[212],"enhance":[213],"using":[214,284],"heuristics.":[218],"Finally,":[219],"it":[220],"fitting":[222],"our":[224],"concludes":[226],"S.-C.":[228],"Zhu\u2019s":[229],"reviews":[232],"large":[234],"past":[237],"work":[238],"modeling":[240],"visual":[241],"patterns,":[242],"area":[244],"fundamental":[245],"organization.":[248],"Professor":[249],"Zhu":[250],"presents":[251],"broad":[253],"taxonomy":[254],"methods,":[256],"stressing":[257],"importance":[259],"generative":[261],"models":[262],"image":[264],"modeling.":[265],"15":[267],"have":[270],"presented":[271],"provide":[272,315],"wide":[274],"range":[275],"viewpoints":[277],"attack":[279],"variety":[281],"problems":[283],"diverse":[285],"tools.":[286],"We":[287],"appropriate":[290],"since":[291],"challenges":[293],"great":[298],"many":[300,323],"angles":[301],"should":[305],"be":[308],"explored.":[309],"Hopefully,":[310],"will":[314],"useful":[317],"snapshot":[318],"state":[321],"approaches.":[326]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}