{"created":"2023-05-15T12:05:05.440546+00:00","id":9706,"links":{},"metadata":{"_buckets":{"deposit":"3bc12a54-6c79-41d0-ab0e-7a9b60a26356"},"_deposit":{"created_by":3,"id":"9706","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"9706"},"status":"published"},"_oai":{"id":"oai:iwate-u.repo.nii.ac.jp:00009706","sets":["1515:1519"]},"author_link":["74126","74125"],"item_16_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2002-01-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"69","bibliographicPageStart":"65","bibliographicVolumeNumber":"1","bibliographic_titles":[{"bibliographic_title":"Proceedings : 16th International Conference on Pattern Recognition"}]}]},"item_16_date_6":{"attribute_name":"登録日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2009-02-12"}]},"item_16_description_12":{"attribute_name":"Abstract","attribute_value_mlt":[{"subitem_description":"We present a method for two-dimensional (2D) shape detection applicable under affine transformation. The problem of affine-invariant shape detection is an important and fundamental research subject in computer vision. Although various methods have been proposed to solve this problem, most of those approaches are not well suited for the following general cases: (1) a shape to be detected is occluded by other overlapping objects, (2) a shape boundary is partially broken because of noise or other factors. We introduce a method to deal with such cases, which extends the generalized Hough transform to be an affine-invariant shape detector. This method, called the affine-GHT, utilizes pairwise parallel tangents and basic properties of an affine transformation to carry the direct computation for six parameters of an affine transformation. Experimental results demonstrate that the proposed method performs successfully and efficiently.","subitem_description_type":"Other"}]},"item_16_publisher_14":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_16_relation_26":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/ICPR.2002.1044613","subitem_relation_type_select":"DOI"}}]},"item_16_rights_18":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2002 IEEE"}]},"item_16_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1051-4651","subitem_source_identifier_type":"ISSN"}]},"item_16_text_4":{"attribute_name":"著者(機関)","attribute_value_mlt":[{"subitem_text_value":"Department of  Computer and Information Science, Iwate University"}]},"item_16_version_type_27":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"KIMURA, Akio"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"WATANABE, Takashi"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-14"}],"displaytype":"detail","filename":"p16icpr-v1p65-69.pdf","filesize":[{"value":"2.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"p16icpr-v1p65-69.pdf","url":"https://iwate-u.repo.nii.ac.jp/record/9706/files/p16icpr-v1p65-69.pdf"},"version_id":"f7e67259-c530-43c1-a492-43f644be8f5a"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection"}]},"item_type_id":"16","owner":"3","path":["1519"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-02-12"},"publish_date":"2009-02-12","publish_status":"0","recid":"9706","relation_version_is_last":true,"title":["An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T10:58:44.395480+00:00"}