{"id":"https://openalex.org/W2124737219","doi":"https://doi.org/10.1109/cvprw.2008.4562974","title":"Investigating how and when perceptual organization cues improve boundary detection in natural images","display_name":"Investigating how and when perceptual organization cues improve boundary detection in natural images","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2124737219","doi":"https://doi.org/10.1109/cvprw.2008.4562974","mag":"2124737219"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4562974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4562974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-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/A5024523136","display_name":"Leandro A. Loss","orcid":null},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leandro A. Loss","raw_affiliation_strings":["Computer Vision Laboratory, University of Nevada, Reno, USA","Comput. Vision Lab., Nevada, Univ., Reno, NV"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Nevada, Reno, USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Comput. Vision Lab., Nevada, Univ., Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082566089","display_name":"George Bebis","orcid":"https://orcid.org/0009-0000-6222-5967"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Bebis","raw_affiliation_strings":["Computer Vision Laboratory, University of Nevada, Reno, USA","Comput. Vision Lab., Nevada, Univ., Reno, NV"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Nevada, Reno, USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Comput. Vision Lab., Nevada, Univ., Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092127213","display_name":"Mircea Nicolescu","orcid":"https://orcid.org/0009-0008-3748-3559"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mircea Nicolescu","raw_affiliation_strings":["Computer Vision Laboratory, University of Nevada, Reno, USA","Comput. Vision Lab., Nevada, Univ., Reno, NV"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Nevada, Reno, USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Comput. Vision Lab., Nevada, Univ., Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056684926","display_name":"Alexei Skurikhin","orcid":"https://orcid.org/0000-0001-5606-4933"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexei Skurikhin","raw_affiliation_strings":["Space and Remote Sensing Sciences, Los Alamos National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Space and Remote Sensing Sciences, Los Alamos National Laboratory, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024523136"],"corresponding_institution_ids":["https://openalex.org/I134113660"],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65876798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9886999726295471,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9886999726295471,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9884999990463257,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567697763442993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7272666692733765},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6085433959960938},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5662225484848022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5432485342025757},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.503501832485199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5009610652923584},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47227346897125244},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4692131578922272},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45677700638771057},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4419700503349304},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43921831250190735},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.4369767904281616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16063719987869263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567697763442993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272666692733765},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6085433959960938},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5662225484848022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5432485342025757},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.503501832485199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5009610652923584},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47227346897125244},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4692131578922272},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45677700638771057},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4419700503349304},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43921831250190735},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.4369767904281616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16063719987869263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2008.4562974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4562974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":15,"referenced_works":["https://openalex.org/W577681875","https://openalex.org/W1558317476","https://openalex.org/W1987389174","https://openalex.org/W2022494151","https://openalex.org/W2036835491","https://openalex.org/W2111692787","https://openalex.org/W2119823327","https://openalex.org/W2129104643","https://openalex.org/W2136120429","https://openalex.org/W2152109057","https://openalex.org/W2155653793","https://openalex.org/W2157652882","https://openalex.org/W2163869712","https://openalex.org/W3206963310","https://openalex.org/W7002199672"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966","https://openalex.org/W4287991909","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Boundary":[0],"detection":[1,37,75,99,118,220],"in":[2,12,18,119,158,221,228],"natural":[3,120],"images":[4,227],"represents":[5],"an":[6,159],"important":[7],"but":[8],"also":[9],"challenging":[10,61],"problem":[11],"computer":[13],"vision.":[14],"Motivated":[15],"by":[16,38,56,91,149,182],"studies":[17],"psychophysics":[19],"claiming":[20],"that":[21,145,210],"humans":[22],"use":[23,171],"multiple":[24],"cues":[25,72,95,115,197],"for":[26,73],"segmentation,":[27],"several":[28],"promising":[29],"methods":[30,59,81],"have":[31,53],"been":[32,54,77],"proposed":[33],"which":[34],"perform":[35],"boundary":[36,74,98,117,176,204,219],"optimally":[39],"combining":[40,70],"local":[41],"image":[42],"measurements":[43],"such":[44,63],"as":[45,64,214],"color,":[46],"texture,":[47],"and":[48,111,154,193],"brightness.":[49],"Very":[50],"interesting":[51],"results":[52,86,190],"reported":[55],"applying":[57],"these":[58],"on":[60],"datasets":[62],"the":[65,97,127,133,175,224,229],"Berkeley":[66,230],"segmentation":[67,132,183,231],"benchmark.":[68],"Although":[69],"different":[71],"has":[76],"shown":[78],"to":[79,108,170,173,200],"outperform":[80],"using":[82,211],"a":[83,139,215],"single":[84],"cue,":[85],"can":[87],"be":[88],"further":[89],"improved":[90],"integrating":[92,130],"perceptual":[93,113,147,195,212],"organization":[94,114,196],"with":[96,131],"process.":[100],"The":[101,166],"main":[102],"goal":[103],"of":[104,129,141,187,223],"this":[105,123],"study":[106],"is":[107,169],"investigate":[109,126],"how":[110,192],"when":[112,194],"improve":[116,201],"images.":[121],"In":[122,206],"context,":[124],"we":[125,208],"idea":[128,168],"iterative":[134,160],"multi-scale":[135],"tensor":[136,142],"voting":[137,143],"(IMSTV),":[138],"variant":[140],"(TV)":[144],"performs":[146],"grouping":[148,213],"analyzing":[150],"information":[151],"at":[152],"multiple-scales":[153],"removing":[155],"background":[156],"clutter":[157],"fashion,":[161],"preserving":[162],"salient,":[163],"organized":[164],"structures.":[165],"key":[167],"IMSTV":[172],"post-process":[174],"posterior":[177],"probability":[178],"(PB)":[179],"map":[180],"produced":[181],"algorithms.":[184],"Detailed":[185],"analysis":[186],"our":[188],"experimental":[189],"reveals":[191],"are":[198],"likely":[199],"or":[202],"degrade":[203],"detection.":[205],"particular,":[207],"show":[209],"post-processing":[216],"step":[217],"improves":[218],"84%":[222],"grayscale":[225],"test":[226],"dataset.":[232]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}