{"id":"https://openalex.org/W2136283005","doi":"https://doi.org/10.1109/icip.2002.1038139","title":"A global-to-local approach for robust range image segmentation","display_name":"A global-to-local approach for robust range image segmentation","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2136283005","doi":"https://doi.org/10.1109/icip.2002.1038139","mag":"2136283005"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1038139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038139","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","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/A5077179679","display_name":"Luciano Silva","orcid":"https://orcid.org/0000-0001-6341-1323"},"institutions":[{"id":"https://openalex.org/I224309722","display_name":"Instituto Federal de Educa\u00e7\u00e3o Ci\u00eancia e Tecnologia do Paran\u00e1","ror":"https://ror.org/02znfhp50","country_code":"BR","type":"education","lineage":["https://openalex.org/I224309722"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"L. Silva","raw_affiliation_strings":["Centro Federal de Edu\u00e7\u00e3o, Tecnol6gica do Parana, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro Federal de Edu\u00e7\u00e3o, Tecnol6gica do Parana, Brazil","institution_ids":["https://openalex.org/I224309722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064483605","display_name":"Olga Regina Pereira Bellon","orcid":"https://orcid.org/0000-0003-2683-9704"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"O.R.P. Bellon","raw_affiliation_strings":["Departamento de lnform\u00e1tica, Universidade Federal do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de lnform\u00e1tica, Universidade Federal do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011929840","display_name":"Paulo Gotardo","orcid":"https://orcid.org/0000-0001-8217-5848"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"P.F.U. Gotardo","raw_affiliation_strings":["Departamento de lnform\u00e1tica, Universidade Federal do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de lnform\u00e1tica, Universidade Federal do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I52418104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077179679"],"corresponding_institution_ids":["https://openalex.org/I224309722"],"apc_list":null,"apc_paid":null,"fwci":3.2909,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9205808,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12549","display_name":"Image and Object Detection 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.7268608808517456},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6996477246284485},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6385405659675598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191016435623169},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6032824516296387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642553567886353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5067561268806458},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48878738284111023},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.472854882478714},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.4696713387966156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46634405851364136},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43152758479118347},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4222673177719116},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.41932213306427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4173698127269745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3572479784488678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30814307928085327},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09804001450538635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07560744881629944},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.0613211989402771}],"concepts":[{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.7268608808517456},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6996477246284485},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6385405659675598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191016435623169},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6032824516296387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642553567886353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5067561268806458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48878738284111023},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.472854882478714},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.4696713387966156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46634405851364136},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43152758479118347},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4222673177719116},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.41932213306427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4173698127269745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3572479784488678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30814307928085327},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09804001450538635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07560744881629944},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.0613211989402771},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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.2002.1038139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038139","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","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":14,"referenced_works":["https://openalex.org/W1582758072","https://openalex.org/W1978436383","https://openalex.org/W2010016312","https://openalex.org/W2046434485","https://openalex.org/W2075690349","https://openalex.org/W2085261163","https://openalex.org/W2097338724","https://openalex.org/W2099088762","https://openalex.org/W2135797233","https://openalex.org/W2145475425","https://openalex.org/W2152701363","https://openalex.org/W2163296795","https://openalex.org/W2165801966","https://openalex.org/W4242010931"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W2891970004","https://openalex.org/W4297516826","https://openalex.org/W4210897550","https://openalex.org/W1995669958","https://openalex.org/W2036750674","https://openalex.org/W1996044351","https://openalex.org/W2031075630","https://openalex.org/W4287594409","https://openalex.org/W3123793122"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,9,21,101],"range":[3,33],"image":[4,56],"segmentation":[5],"algorithm":[6,19,52],"based":[7],"on":[8,83],"robust":[10,54,93,105],"estimation":[11],"technique,":[12],"the":[13,26,51,59],"M-estimator":[14],"sample":[15],"consensus":[16],"(MSAC).":[17],"The":[18],"is":[20,53,63],"parallelizable":[22],"\"global-to-local\"":[23],"approach":[24],"for":[25],"extraction":[27],"of":[28],"planar":[29,42],"surfaces":[30,43],"directly":[31],"from":[32],"images.":[34],"Solutions":[35],"to":[36,55,65,90,103],"some":[37],"problems":[38],"faced":[39],"when":[40],"extracting":[41],"globally":[44],"are":[45,76],"also":[46,79],"proposed.":[47],"Experimental":[48],"results":[49],"show":[50],"noise":[57],"in":[58],"sense":[60],"that":[61,70],"it":[62,96],"able":[64],"preserve":[66],"object":[67],"shapes":[68],"so":[69],"neither":[71],"presmoothing,":[72],"nor":[73],"postprocessing":[74],"steps":[75],"required.":[77],"It":[78],"does":[80],"not":[81],"rely":[82],"MSAC":[84],"and":[85],"can":[86],"be":[87,98],"easily":[88],"adapted":[89],"use":[91],"other":[92],"estimators.":[94,106],"Thus,":[95],"may":[97],"used":[99],"as":[100],"framework":[102],"compare":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
