Art

J-GLOBAL ID：201802247965037594   Reference number：18A0950372

[Paper] Sparse Group Match for Point Cloud Registration

点群位置合せのためのスパース群マッチング

Author (3)： Sun Lu (Chiba University) ,  Manabe Yoshitsugu (Chiba University) ,  Yata Noriko (Chiba University)
Material： ITE Transactions on Media Technology and Applications (Web)  (ITE Trans Media Technol Appl (Web))
Volume： 6  Issue： 2  Page： 151-161(J-STAGE)  Publication year： 2018 
JST Material Number： U0407A  ISSN： 2186-7364  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *point group ,  *registration (image) ,  group (mathematics) ,  *pattern matching ,  drift (migration) ,  outlier ,  noise immunity ,  multiplex ,  data representation ,  signal sampling ,  accuracy ,  mean value ,  Probability ,  coordinate transformation ,  *image synthesis ,  high accuracy
Semi thesaurus term： sparse representation ,  resampling ,  registration ,  rigid body transformation

Author keywords (4)： Point Cloud Registration ,  Point Group ,  Multiple Average Probability ,  Sparse Representation

JST classification (1)： Graphic and image processing in general  (JE04010I)

Reference (25)：

• 1) P. J. Besl and N. D. Mckay, A Method for Registration of 3-D Shapes. IEEE Computer Society, 1992.
• 2) S. Rusinkiewicz and M. Levoy, “Efficient variants of the icp algorithm,” Proc. 3DIM, 2001, pp. 145-152, 2001.
• 3) J. L. Dai, Z. Y. Chen, Z. University, and Hangzhou, “The application of icp algorithm in point cloud alignment,” <i>Journal of Image & Graphics</i>, 2007.
• 4) S. Bouaziz, A. Tagliasacchi, and M. Pauly, “Sparse iterative closest point,” in Eleventh Eurographics/acmsiggraph Symposium on Geometry Processing, pp. 113-123, 2013.
• 5) B. Bellekens, V. Spruyt, R. Berkvens, and M. Wey, “A survey of rigid 3d pointcloud registration algorithms,” in AMBIENT 2014: The Fourth International Conference on Ambient Computing, Applications, Services and Technologies, pp. 8-13, 2014.

Terms in the title (3)： 点群 ,  位置合せ ,  マッチング