Global Image Registration using Random Projection

• Item type: SIG Technical Reports(1)
• 公開日: 2011-05-12
• タイトル: Global Image Registration using Random Projection
• タイトル / 言語: en
• タイトル: Global Image Registration using Random Projection
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 卒論セッションダイジェスト1
• 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: Graduate School, Chiba University
• 著者所属: Graduate School, Chiba University
• 著者所属: Nagasaki University
• 著者所属: IMIT, Chiba University
• 著者所属(英): en
• 著者所属(英): Graduate School, Chiba University
• 著者所属(英): en
• 著者所属(英): Graduate School, Chiba University
• 著者所属(英): en
• 著者所属(英): Nagasaki University
• 著者所属(英): en
• 著者所属(英): IMIT, Chiba University
• 著者名: Shuang, Lu; Hayato, Itoh; Tomoya, Sakai; Atsushi, Imiya
• 著者名(英): Shuang, Lu; Hayato, Itoh; Tomoya, Sakai; Atsushi, Imiya
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Using the efficient random projection, we develop an efficient algorithm that establishes global image registration. Image registration, which is the first process in image data alignment and applied in remote sensing, image processing, medical image analysis, robot vision, car mounted vision system, and industrial image inspection. The current image registration techniques are classified into local registration and global registration. Our aim in this paper is to speed up global registration using random projection. Random projection refers to a simple technique of projecting a set of points from a high-dimensional space to a randomly chosen low- dimensional subspace and can preserve the geometric properties in the higher-dimensional space. We develop a global registration using random projection We use spectrum spreading and circular convolution to reduce computational cost of random projection.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Using the efficient random projection, we develop an efficient algorithm that establishes global image registration. Image registration, which is the first process in image data alignment and applied in remote sensing, image processing, medical image analysis, robot vision, car mounted vision system, and industrial image inspection. The current image registration techniques are classified into local registration and global registration. Our aim in this paper is to speed up global registration using random projection. Random projection refers to a simple technique of projecting a set of points from a high-dimensional space to a randomly chosen low- dimensional subspace and can preserve the geometric properties in the higher-dimensional space. We develop a global registration using random projection We use spectrum spreading and circular convolution to reduce computational cost of random projection.
• 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: 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 2011-CVIM-177, 号 7, p. 1-7, 発行日 2011-05-12
• 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