{"links":{},"id":164450,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00164450","sets":["6504:8291:8755"]},"path":["8755"],"owner":"6748","recid":"164450","title":["交差反復処理による深度カメラと地面のなす角度の推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-17"},"_buckets":{"deposit":"d6936d31-68e8-4ece-aee9-83805d986cee"},"_deposit":{"id":"164450","pid":{"type":"depid","value":"164450","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"交差反復処理による深度カメラと地面のなす角度の推定","author_link":["323897","323896","323898","323895"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"交差反復処理による深度カメラと地面のなす角度の推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2015-03-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"和歌山大"},{"subitem_text_value":"和歌山大"},{"subitem_text_value":"和歌山大"},{"subitem_text_value":"和歌山大"}]},"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/164450/files/IPSJ-Z77-3ZG-04.pdf","label":"IPSJ-Z77-3ZG-04.pdf"},"date":[{"dateType":"Available","dateValue":"2016-06-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z77-3ZG-04.pdf","filesize":[{"value":"515.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"45a51b4a-bd03-49dc-9aaa-07c6f9f64637","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"郎, 彦昆"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"呉, 海元"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"天野, 敏之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"陳, 謙"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"This paper proposes a principle statistical approach for GP (ground plane) detection by using depth camera. Current GP detection algorithms have focused on calculating the minimum distance to estimating the ground plane, while less of them have considered the probability distribution and the angle of the camera to improve the performance.In this paper, we employ the KDE (Kernel Density Estimator) to obtain the probability density of the height distribution, with which the GP can be estimated. By using the estimated GP we calculate the angle of camera, and then feedback it to update GP until a certain condition has been reached. We evaluate our algorithm named as AGP-CIC(Angle-GP cross iterative convergence)  on many challenging scenes and compare it with other distance-based algorithms.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"522","bibliographic_titles":[{"bibliographic_title":"第77回全国大会講演論文集"}],"bibliographicPageStart":"521","bibliographicIssueDates":{"bibliographicIssueDate":"2015-03-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2015"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T00:36:15.878167+00:00","updated":"2025-01-20T10:54:27.397834+00:00"}