{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00102488","sets":["934:1162:7470"]},"path":["7470"],"owner":"11","recid":"102488","title":["Recognition of Defocused Patterns"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-07-25"},"_buckets":{"deposit":"9d9c54ee-fa43-465c-b3b2-05d948dfd75f"},"_deposit":{"id":"102488","pid":{"type":"depid","value":"102488","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Recognition of Defocused Patterns","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Recognition of Defocused Patterns"},{"subitem_title":"Recognition of Defocused Patterns","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[Resarch Paper - Express Paper] pattern recognition, coded aperture, defocus, local feature","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2014-07-25","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Osaka Prefecture University"},{"subitem_text_value":"Osaka Prefecture University"},{"subitem_text_value":"Hiroshima City University"},{"subitem_text_value":"Osaka Prefecture University"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"},{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"},{"subitem_text_value":"Hiroshima City University","subitem_text_language":"en"},{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/102488/files/IPSJ-TCVA0600010.pdf"},"date":[{"dateType":"Available","dateValue":"2014-07-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCVA0600010.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"846aa2a9-30cf-4cd5-adb6-5873a63656f8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masakazu, Iwamura"},{"creatorName":"Masashi, Imura"},{"creatorName":"Shinsaku, Hiura"},{"creatorName":"Koichi, Kise"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masakazu, Iwamura","creatorNameLang":"en"},{"creatorName":"Masashi, Imura","creatorNameLang":"en"},{"creatorName":"Shinsaku, Hiura","creatorNameLang":"en"},{"creatorName":"Koichi, Kise","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628065","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-6695","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"The paper addresses the recognition problem of defocused patterns. Though recognition algorithms assume that the input images are focused and sharp, it does not always hold on actual camera-captured images. Thus, a recognition method that can recognize defocused patterns is required. In this paper, we propose a novel recognition framework for defocused patterns, relying on a single camera without a depth sensor. The framework is based on the coded aperture which can recover a less-degraded image from a defocused image if depth is available. However, in the problem setting of “a single camera without a depth sensor,” estimating depth is ill-posed and an assumption is required to estimate the depth. To solve the problem, we introduce a new assumption suitable for pattern recognition; templates are known. It is based on the fact that in pattern recognition, all templates must be available in advance for training. The experiments confirmed that the proposed method is fast and robust to defocus and scaling, especially for heavily defocused patterns.","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The paper addresses the recognition problem of defocused patterns. Though recognition algorithms assume that the input images are focused and sharp, it does not always hold on actual camera-captured images. Thus, a recognition method that can recognize defocused patterns is required. In this paper, we propose a novel recognition framework for defocused patterns, relying on a single camera without a depth sensor. The framework is based on the coded aperture which can recover a less-degraded image from a defocused image if depth is available. However, in the problem setting of “a single camera without a depth sensor,” estimating depth is ill-posed and an assumption is required to estimate the depth. To solve the problem, we introduce a new assumption suitable for pattern recognition; templates are known. It is based on the fact that in pattern recognition, all templates must be available in advance for training. The experiments confirmed that the proposed method is fast and robust to defocus and scaling, especially for heavily defocused patterns.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"52","bibliographic_titles":[{"bibliographic_title":"IPSJ Transactions on Computer Vision and Applications （CVA）"}],"bibliographicPageStart":"48","bibliographicIssueDates":{"bibliographicIssueDate":"2014-07-25","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"6"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":102488,"updated":"2025-01-21T10:47:39.281232+00:00","links":{},"created":"2025-01-18T23:47:45.791849+00:00"}