少数標本点によるカメラ・キャリブレーション

• Item type: SIG Technical Reports(1)
• 公開日: 1992-01-23
• タイトル: 少数標本点によるカメラ・キャリブレーション
• タイトル / 言語: en
• タイトル: A Camera Calibration Using a Few Target - Points
• 言語: jpn
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: 九州工業大学工学部
• 著者所属: 九州工業大学工学部
• 著者所属: 米国メイン大学電気工学科
• 著者所属: 九州工業大学工学部
• 著者所属(英): en
• 著者所属(英): Faculty of Engineering, Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Faculty of Engineering, Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Dept. of Electrical Engineering, University of Maine, USA
• 著者所属(英): en
• 著者所属(英): Faculty of Engineering, Kyushu Institute of Technology
• 著者名: 辻, 正文; 鎌田, 清一郎; イースン・リチャード; 河口, 英二
• 著者名(英): Masafumi, Tsuji; Seiichiro, Kamata; Richard, Eason; Eiji, Kawaguchi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: A camera calibration technique plays an important role in the field of robot vision. There are a lot of techniques to this field for several decades. In this paper we present a method for determining the position of a camera using a few target-points. We use 3 rotation angles and translation vector to describe the position of the camera for a pinhole model. In general for solving the 6 unknown parameters a minimum of six target-points in a world coordinate system is required to uniquely define the matrix. However we show that by using the properties of the matrix we can reduce this number to four. Some experimental results of this method using synthetic data and real image data are also shown.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: A camera calibration technique plays an important role in the field of robot vision. There are a lot of techniques to this field for several decades. In this paper, we present a method for determining the position of a camera using a few target-points. We use 3 rotation angles and translation vector to describe the position of the camera for a pinhole model. In general, for solving the 6 unknown parameters, a minimum of six target-points in a world coordinate system is required to uniquely define the matrix. However, we show that by using the properties of the matrix we can reduce this number to four. Some experimental results of this method using synthetic data and real image data are also shown.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11131797
• 書誌情報: 情報処理学会研究報告コンピュータビジョンとイメージメディア（CVIM）; 巻 1992, 号 7(1991-CVIM-076), p. 173-180, 発行日 1992-01-23
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会