{"id":"https://openalex.org/W1871401365","doi":"https://doi.org/10.1109/icpr.2002.1044613","title":"An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection","display_name":"An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1871401365","doi":"https://doi.org/10.1109/icpr.2002.1044613","mag":"1871401365"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iwate-u.repo.nii.ac.jp/record/9706/files/p16icpr-v1p65-69.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102945230","display_name":"Akio Kimura","orcid":"https://orcid.org/0000-0002-0742-0783"},"institutions":[{"id":"https://openalex.org/I173009982","display_name":"Iwate University","ror":"https://ror.org/04cd75h10","country_code":"JP","type":"education","lineage":["https://openalex.org/I173009982"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"A. Kimura","raw_affiliation_strings":["Department of Computer and Information Science, Iwate University, Japan","Dept. of Comput. & Inf. Sci., Iwate Univ., Morioka, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Iwate University, Japan","institution_ids":["https://openalex.org/I173009982"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Iwate Univ., Morioka, Japan#TAB#","institution_ids":["https://openalex.org/I173009982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101499939","display_name":"Takashi Watanabe","orcid":"https://orcid.org/0000-0002-9380-8193"},"institutions":[{"id":"https://openalex.org/I173009982","display_name":"Iwate University","ror":"https://ror.org/04cd75h10","country_code":"JP","type":"education","lineage":["https://openalex.org/I173009982"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Watanabe","raw_affiliation_strings":["Department of Computer and Information Science, Iwate University, Japan","Dept. of Comput. & Inf. Sci., Iwate Univ., Morioka, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Iwate University, Japan","institution_ids":["https://openalex.org/I173009982"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Iwate Univ., Morioka, Japan#TAB#","institution_ids":["https://openalex.org/I173009982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102945230"],"corresponding_institution_ids":["https://openalex.org/I173009982"],"apc_list":null,"apc_paid":null,"fwci":1.6151,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83822474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"65","last_page":"69"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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":0.9941999912261963,"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/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.8935767412185669},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.8911113739013672},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.7356688976287842},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6861667633056641},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5990245342254639},{"id":"https://openalex.org/keywords/affine-geometry-of-curves","display_name":"Affine geometry of curves","score":0.568584680557251},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.5495478510856628},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.546261191368103},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5277016162872314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48509418964385986},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.47698408365249634},{"id":"https://openalex.org/keywords/affine-coordinate-system","display_name":"Affine coordinate system","score":0.4709033966064453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4585250914096832},{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.4451005756855011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.440567284822464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4055168032646179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.399814635515213},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2239818572998047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2066958248615265},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.17043057084083557}],"concepts":[{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.8935767412185669},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8911113739013672},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.7356688976287842},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6861667633056641},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5990245342254639},{"id":"https://openalex.org/C202411454","wikidata":"https://www.wikidata.org/wiki/Q4688941","display_name":"Affine geometry of curves","level":4,"score":0.568584680557251},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.5495478510856628},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.546261191368103},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5277016162872314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48509418964385986},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.47698408365249634},{"id":"https://openalex.org/C95565831","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine coordinate system","level":4,"score":0.4709033966064453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4585250914096832},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.4451005756855011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.440567284822464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4055168032646179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.399814635515213},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2239818572998047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2066958248615265},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.17043057084083557},{"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2002.1044613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01335:0002134026","is_oa":true,"landing_page_url":"https://iwate-u.repo.nii.ac.jp/records/9706","pdf_url":"https://iwate-u.repo.nii.ac.jp/record/9706/files/p16icpr-v1p65-69.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings : 16th International Conference on Pattern Recognition","raw_type":"journal article"},{"id":"pmh:oai:iwate-u.repo.nii.ac.jp:00009706","is_oa":true,"landing_page_url":"https://iwate-u.repo.nii.ac.jp/?action=repository_uri&item_id=9706","pdf_url":null,"source":{"id":"https://openalex.org/S4306401269","display_name":"Iwate University Repository (Iwate University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173009982","host_organization_name":"Iwate University","host_organization_lineage":["https://openalex.org/I173009982"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01335:0002134026","is_oa":true,"landing_page_url":"https://iwate-u.repo.nii.ac.jp/records/9706","pdf_url":"https://iwate-u.repo.nii.ac.jp/record/9706/files/p16icpr-v1p65-69.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings : 16th International Conference on Pattern Recognition","raw_type":"journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1871401365.pdf","grobid_xml":"https://content.openalex.org/works/W1871401365.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W122392290","https://openalex.org/W1638384496","https://openalex.org/W1984214595","https://openalex.org/W2004491626","https://openalex.org/W2005655680","https://openalex.org/W2019721259","https://openalex.org/W2022203019","https://openalex.org/W2035755643","https://openalex.org/W2054660053","https://openalex.org/W2121013500","https://openalex.org/W2122191567","https://openalex.org/W2124087378","https://openalex.org/W2124386111","https://openalex.org/W2145023731","https://openalex.org/W2146972512","https://openalex.org/W2154359228","https://openalex.org/W2156463490","https://openalex.org/W2157669660","https://openalex.org/W2159709546","https://openalex.org/W4256085173"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2077614002","https://openalex.org/W2038416447","https://openalex.org/W2106401644","https://openalex.org/W2036246238","https://openalex.org/W2498386001","https://openalex.org/W151368118","https://openalex.org/W2964008969","https://openalex.org/W2131092941","https://openalex.org/W1919621537"],"abstract_inverted_index":{"We":[0,77],"present":[1],"a":[2,53,65,79],"method":[3,80,132],"for":[4,47,119],"two-dimensional":[5],"(2D)":[6],"shape":[7,17,54,66,96],"detection":[8,18],"applicable":[9],"under":[10],"affine":[11,112,124],"transformation.":[12,125],"The":[13],"problem":[14],"of":[15,40,72,110,122],"affine-invariant":[16,95],"is":[19,58,68],"an":[20,94,111,123],"important":[21],"and":[22,107,135],"fundamental":[23],"research":[24],"subject":[25],"in":[26],"computer":[27],"vision.":[28],"Although":[29],"various":[30],"methods":[31],"have":[32],"been":[33],"proposed":[34,131],"to":[35,55,81,92,114],"solve":[36],"this":[37],"problem,":[38],"most":[39],"those":[41],"approaches":[42],"are":[43],"not":[44],"well":[45],"suited":[46],"the":[48,88,101,116,130],"following":[49],"general":[50],"cases:":[51],"(1)":[52],"be":[56,93],"detected":[57],"occluded":[59],"by":[60],"other":[61,75],"overlapping":[62],"objects,":[63],"(2)":[64],"boundary":[67],"partially":[69],"broken":[70],"because":[71],"noise":[73],"or":[74],"factors.":[76],"introduce":[78],"deal":[82],"with":[83],"such":[84],"cases,":[85],"which":[86],"extends":[87],"generalized":[89],"Hough":[90],"transform":[91],"detector.":[97],"This":[98],"method,":[99],"called":[100],"affine-GHT,":[102],"utilizes":[103],"pairwise":[104],"parallel":[105],"tangents":[106],"basic":[108],"properties":[109],"transformation":[113],"carry":[115],"direct":[117],"computation":[118],"six":[120],"parameters":[121],"Experimental":[126],"results":[127],"demonstrate":[128],"that":[129],"performs":[133],"successfully":[134],"efficiently.":[136]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
