{"id":"https://openalex.org/W1525341245","doi":"https://doi.org/10.1109/icip.2003.1246712","title":"A framework for constrained multiscale range image segmentation","display_name":"A framework for constrained multiscale range image segmentation","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1525341245","doi":"https://doi.org/10.1109/icip.2003.1246712","mag":"1525341245"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1246712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5073400795","display_name":"Franck Taillandier","orcid":"https://orcid.org/0000-0001-5278-2145"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Taillandier","raw_affiliation_strings":["IGN/MATIS, Saint Mande, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN/MATIS, Saint Mande, France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084331534","display_name":"Laurent Guigues","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Guigues","raw_affiliation_strings":["IGN/MATIS, Saint Mande, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN/MATIS, Saint Mande, France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082632190","display_name":"Rachid Deriche","orcid":"https://orcid.org/0000-0002-4643-8417"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Deriche","raw_affiliation_strings":["INRIA-ODYSSEE, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA-ODYSSEE, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4756,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52597048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9896000027656555,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/segmentation","display_name":"Segmentation","score":0.6229237914085388},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6216192245483398},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5775938034057617},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.5472554564476013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5247937440872192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46863460540771484},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4517764449119568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37045979499816895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3650962710380554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3380875885486603},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3201494514942169}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6229237914085388},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6216192245483398},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5775938034057617},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.5472554564476013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5247937440872192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46863460540771484},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4517764449119568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37045979499816895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3650962710380554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3380875885486603},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3201494514942169},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1246712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1498058582","https://openalex.org/W1498891331","https://openalex.org/W1533169541","https://openalex.org/W2002811962","https://openalex.org/W2003799799","https://openalex.org/W2069842045","https://openalex.org/W2075690349","https://openalex.org/W2091240853","https://openalex.org/W2124313187","https://openalex.org/W2133768452","https://openalex.org/W2493820185","https://openalex.org/W2573934436","https://openalex.org/W3044744233","https://openalex.org/W6629871822","https://openalex.org/W6631963490"],"related_works":["https://openalex.org/W4206327962","https://openalex.org/W2010009304","https://openalex.org/W1996851061","https://openalex.org/W3021694725","https://openalex.org/W2025195393","https://openalex.org/W2940695648","https://openalex.org/W1973684381","https://openalex.org/W4251403274","https://openalex.org/W2096304864","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1,110],"paper,":[2],"we":[3,76],"present":[4],"a":[5,19,28,36,40,57,63,73,82,90,122,125],"general":[6,58],"framework":[7],"for":[8,81],"multiscale":[9,29],"segmentation":[10,69],"of":[11,21,27,65,96,102,104,124],"range":[12],"images":[13,142],"in":[14,67],"planar":[15,84,127],"facets.":[16],"We":[17,54,107],"propose":[18],"formulation":[20,91,123],"the":[22,25,43,47,51,78,94,97,100,105],"problem":[23],"as":[24,72],"minimization":[26],"separable":[30],"energy,":[31],"which":[32,68,118],"involves":[33],"two":[34,52],"terms:":[35],"goodness-of-fit":[37],"term":[38],"and":[39,87,99,128,144],"regularization":[41],"term,":[42],"scale":[44],"parameter":[45],"being":[46],"relative":[48],"weight":[49],"between":[50],"terms.":[53],"then":[55,108],"recall":[56],"parameter-free":[59],"method":[60],"to":[61,112,121],"build":[62],"hierarchy":[64],"regions":[66],"is":[70],"expressed":[71],"cut.":[74],"Afterwards,":[75],"explicit":[77],"energy":[79],"derived":[80],"simple-shaped":[83,126],"facet":[85,130],"model":[86,98,111],"based":[88],"on":[89,134],"that":[92],"confronts":[93],"complexity":[95],"goodness":[101],"fit":[103],"data.":[106],"extend":[109],"integrate":[113],"gradients":[114],"information":[115],"from":[116,140],"images,":[117],"leads":[119],"us":[120],"homogeneous":[129],"model.":[131],"Some":[132],"results":[133],"digital":[135],"elevation":[136],"models":[137],"(DEM)":[138],"obtained":[139],"aerial":[141],"with":[143],"without":[145],"image":[146],"constraints":[147],"are":[148],"provided.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}