{"created":"2021-03-01T06:20:43.425426+00:00","id":4068,"links":{},"metadata":{"_buckets":{"deposit":"8cf6ada6-79e8-4af3-9e97-05b063c0deed"},"_deposit":{"id":"4068","owners":[],"pid":{"revision_id":0,"type":"depid","value":"4068"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00004068","sets":["34:105:262","9:233:234"]},"item_7_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"動画像におけるレンズ上の雨滴の認識と除去"}]},"item_7_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012-09-27","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_7_date_granted_25":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2012-09-27"}]},"item_7_degree_name_20":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"修士(情報理工学)"}]},"item_7_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Raindrops appeared on windscreens or window glass can degrade the visibility of the outside scenes. If we can detect and later remove the raindrops, many applications such as intelligent vehicle system will benefit from it. In this thesis, we intend to focus on developing a method of automatic raindrop detection. We mathematically analyze the characteristics of raindrops adhered to a clear transparent surface, particularly the characteristics of the motion and the changes of the intensity values. The analysis is motivated by the fact that a raindrop conceives the information of the whole background scene, behaving like a minuscule catadioptric lens. In conducting the analysis, we found that motion of raindrop pixels is slower than that of non-raindrop pixels, and the change of intensity of raindrop pixels is smaller than that of non-raindrop pixels. Based on these findings, we developed our detection method. Experimental results using real videos show the effectiveness of our method. Having detected raindrops, in this thesis, algorithms to automatically repair the video in complex outdoor environment are proposed. We categorize outdoor environments into 3 situations and propose a video repairing algorithm for each of them. First, for a fast motion, structured and textured video, a sparse matching based algorithm to estimate dense motion is described. A classification based on the dense motion is introduced and raindrop removal are proposed. Second, for a slow motion, structured and textured video, a raindrop removal method using image registration is introduced. Third, for a static and non-structured video, a modified image inpainting method is introduced for raindrop removal. Experimental results using real videos show the effectiveness of our method.","subitem_description_type":"Abstract"}]},"item_7_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"9380","nameIdentifierScheme":"WEKO"}],"names":[{"name":"尤, 少迪"}]}]},"item_7_select_21":{"attribute_name":"学位","attribute_value_mlt":[{"subitem_select_item":"master"}]},"item_7_subject_13":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_7_text_24":{"attribute_name":"研究科・専攻","attribute_value_mlt":[{"subitem_text_value":"情報理工学系研究科電子情報学専攻"}]},"item_7_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院情報理工学系研究科電子情報学専攻"},{"subitem_text_value":"Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"You, Shaodi"}],"nameIdentifiers":[{"nameIdentifier":"9379","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-06-01"}],"displaytype":"detail","filename":"48106453.pdf","filesize":[{"value":"11.0 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"48106453.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/4068/files/48106453.pdf"},"version_id":"1c5da90a-0890-4835-97ad-3c8aca6eb92c"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Adherent raindrops detection and removal in video","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Adherent raindrops detection and removal in video"}]},"item_type_id":"7","owner":"1","path":["234","262"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-10-30"},"publish_date":"2012-10-30","publish_status":"0","recid":"4068","relation_version_is_last":true,"title":["Adherent raindrops detection and removal in video"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T03:45:49.318854+00:00"}