ログイン
言語:

WEKO3

  • トップ
  • コミュニティ
  • ランキング
AND
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_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"}, "item_7_alternative_title_1": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u52d5\u753b\u50cf\u306b\u304a\u3051\u308b\u30ec\u30f3\u30ba\u4e0a\u306e\u96e8\u6ef4\u306e\u8a8d\u8b58\u3068\u9664\u53bb"}]}, "item_7_biblio_info_7": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-09-27", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{}]}]}, "item_7_date_granted_25": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5", "attribute_value_mlt": [{"subitem_dategranted": "2012-09-27"}]}, "item_7_degree_name_20": {"attribute_name": "\u5b66\u4f4d\u540d", "attribute_value_mlt": [{"subitem_degreename": "\u4fee\u58eb(\u60c5\u5831\u7406\u5de5\u5b66)"}]}, "item_7_description_5": {"attribute_name": "\u6284\u9332", "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": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "9380", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "\u5c24, \u5c11\u8fea"}]}]}, "item_7_select_21": {"attribute_name": "\u5b66\u4f4d", "attribute_value_mlt": [{"subitem_select_item": "master"}]}, "item_7_subject_13": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "548", "subitem_subject_scheme": "NDC"}]}, "item_7_text_24": {"attribute_name": "\u7814\u7a76\u79d1\u30fb\u5c02\u653b", "attribute_value_mlt": [{"subitem_text_value": "\u60c5\u5831\u7406\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u5b50\u60c5\u5831\u5b66\u5c02\u653b"}]}, "item_7_text_36": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Thesis"}]}, "item_7_text_4": {"attribute_name": "\u8457\u8005\u6240\u5c5e", "attribute_value_mlt": [{"subitem_text_value": "\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u7406\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u5b50\u60c5\u5831\u5b66\u5c02\u653b"}, {"subitem_text_value": "Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "You, Shaodi"}], "nameIdentifiers": [{"nameIdentifier": "9379", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-06-01"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "48106453.pdf", "filesize": [{"value": "11.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 11000000.0, "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": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "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": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Adherent raindrops detection and removal in video"}]}, "item_type_id": "7", "owner": "1", "path": ["9/233/234", "34/105/262"], "permalink_uri": "http://hdl.handle.net/2261/52456", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2012-10-30"}, "publish_date": "2012-10-30", "publish_status": "0", "recid": "4068", "relation": {}, "relation_version_is_last": true, "title": ["Adherent raindrops detection and removal in video"], "weko_shared_id": null}
  1. 124 情報理工学系研究科
  2. 40 電子情報学専攻
  3. 1244025 修士論文(電子情報学専攻)
  1. 0 資料タイプ別
  2. 20 学位論文
  3. 025 修士論文

Adherent raindrops detection and removal in video

http://hdl.handle.net/2261/52456
d6e81b9b-091d-4100-84d3-75b1850bc726
名前 / ファイル ライセンス アクション
48106453.pdf 48106453.pdf (11.0 MB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2012-10-30
タイトル
タイトル Adherent raindrops detection and removal in video
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_46ec
タイプ thesis
その他のタイトル
その他のタイトル 動画像におけるレンズ上の雨滴の認識と除去
著者 You, Shaodi

× You, Shaodi

WEKO 9379

You, Shaodi

Search repository
著者別名
識別子
識別子 9380
識別子Scheme WEKO
姓名
姓名 尤, 少迪
著者所属
著者所属 東京大学大学院情報理工学系研究科電子情報学専攻
著者所属
著者所属 Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
Abstract
内容記述タイプ Abstract
内容記述 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.
書誌情報 発行日 2012-09-27
日本十進分類法
主題 548
主題Scheme NDC
学位名
学位名 修士(情報理工学)
学位
値 master
研究科・専攻
情報理工学系研究科電子情報学専攻
学位授与年月日
学位授与年月日 2012-09-27
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-02 07:50:39.442132
Show All versions

Share

Mendeley CiteULike Twitter Facebook Print Addthis

Cite as

Export

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by CERN Data Centre & Invenio


Powered by CERN Data Centre & Invenio