{"id":"https://openalex.org/W2133267513","doi":"https://doi.org/10.1109/ramech.2004.1438953","title":"Superquadrics model recognition from stereo image","display_name":"Superquadrics model recognition from stereo image","publication_year":2005,"publication_date":"2005-06-15","ids":{"openalex":"https://openalex.org/W2133267513","doi":"https://doi.org/10.1109/ramech.2004.1438953","mag":"2133267513"},"language":"en","primary_location":{"id":"doi:10.1109/ramech.2004.1438953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2004.1438953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Conference on Robotics, Automation and Mechatronics, 2004.","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/A5066642437","display_name":"Tsuyoshi Shimizu","orcid":"https://orcid.org/0000-0002-4678-2840"},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Shimizu","raw_affiliation_strings":["Faculty of Engineering, University of Yamanashi, Kofu, Yamanashi, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Yamanashi, Kofu, Yamanashi, Japan","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001144353","display_name":"Makoto Obi","orcid":null},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Obi","raw_affiliation_strings":["Faculty of Engineering, University of Yamanashi, Kofu, Yamanashi, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Yamanashi, Kofu, Yamanashi, Japan","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110347828","display_name":"Nagakazu Furuya","orcid":null},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Furuya","raw_affiliation_strings":["Faculty of Engineering, University of Yamanashi, Kofu, Yamanashi, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Yamanashi, Kofu, Yamanashi, Japan","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111482802","display_name":"S. Toyama","orcid":null},"institutions":[{"id":"https://openalex.org/I127317711","display_name":"Tokyo University of Agriculture","ror":"https://ror.org/05crbcr45","country_code":"JP","type":"education","lineage":["https://openalex.org/I127317711"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Toyama","raw_affiliation_strings":["Division of Mechanical Systems Engineering, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Mechanical Systems Engineering, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I127317711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066642437"],"corresponding_institution_ids":["https://openalex.org/I66906201"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18987192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"401","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7542895078659058},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.7062567472457886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6935265064239502},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6175599098205566},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5583387613296509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5174053907394409},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5147449970245361},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.46502992510795593},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46232205629348755},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.43801388144493103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4371342062950134},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4315774142742157},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4159461259841919},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41348153352737427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3745775520801544},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09926185011863708},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.06268903613090515}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7542895078659058},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.7062567472457886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6935265064239502},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6175599098205566},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5583387613296509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5174053907394409},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5147449970245361},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.46502992510795593},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46232205629348755},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.43801388144493103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4371342062950134},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4315774142742157},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4159461259841919},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41348153352737427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3745775520801544},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09926185011863708},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.06268903613090515},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ramech.2004.1438953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2004.1438953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Conference on Robotics, Automation and Mechatronics, 2004.","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":10,"referenced_works":["https://openalex.org/W1966724717","https://openalex.org/W2026311529","https://openalex.org/W2055503512","https://openalex.org/W2093975135","https://openalex.org/W2105251586","https://openalex.org/W2123564600","https://openalex.org/W2149304813","https://openalex.org/W2160225702","https://openalex.org/W2168569831","https://openalex.org/W3141303114"],"related_works":["https://openalex.org/W2106492215","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2164831575","https://openalex.org/W2378719652","https://openalex.org/W2115729582","https://openalex.org/W2094658154","https://openalex.org/W2370837632","https://openalex.org/W2353187647","https://openalex.org/W4286340544"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,8,28,71,84,88,105,115,121,126,138,154,157,163,166,170,173],"process":[4],"of":[5,7,13,53,60,68,81,92,99,117,156],"recognition":[6],"three-dimensional":[9],"object":[10,16,55,69,122,158,168],"and":[11,22,35,79,87,104,128,145,169],"calculation":[12],"similarity.":[14],"The":[15,30,74,134,149],"is":[17,25,32,39,49,63,123,132,151,175],"recovered":[18,167],"from":[19],"stereo":[20,72],"image":[21,86],"superquadrics":[23,31,93,106],"function":[24,59],"used":[26,50,136],"as":[27],"model.":[29,37],"a":[33,110,141,143],"parametric":[34],"volumetric":[36],"It":[38],"represented":[40],"by":[41,97],"an":[42,54,146],"expanded":[43],"ellipse":[44],"function.":[45],"And":[46],"genetic":[47,61,100],"algorithm":[48,62,101,150],"for":[51,153],"recovering":[52],"shape.":[56],"A":[57],"fitness":[58],"defined":[64],"using":[65],"texture":[66],"features":[67,75],"on":[70,125],"image.":[73,90],"are":[76,95,102,140],"shared":[77],"area":[78],"difference":[80],"intensity":[82],"among":[83],"left":[85],"right":[89],"Parameters":[91],"which":[94],"replaced":[96],"parameters":[98],"optimized":[103],"form":[107],"fits":[108],"to":[109],"solid":[111,130],"body":[112,119,131],"object.":[113],"In":[114],"case":[116],"multiple":[118],"objects,":[120],"divided":[124],"image,":[127],"each":[129],"recovered.":[133],"objects":[135],"in":[137,172],"experiment":[139],"cube,":[142],"cylinder":[144],"elliptic":[147],"column.":[148],"useful":[152],"recovery":[155],"under":[159],"stereopsis.":[160],"After":[161],"recovery,":[162],"similarity":[164],"between":[165],"model":[171],"computer":[174],"calculated.":[176]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
