HOSVD based method for surface data approximation and compression

12th International Conference on Intelligent Engineering Systems - Proceedings, INES 2008

Volumn , Issue , 2008, Pages 197-202

  Szeidl, László ^a   Rudas, Imre ^a   Rövid, András ^b   Várlaki, Péter ^b  

^a OBUDA UNIVERSITY   (Hungary)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; POLYNOMIAL APPROXIMATION; SINGULAR VALUE DECOMPOSITION; TECHNOLOGY; TENSORS;

CANONICAL FORMS; COMPRESSION PROPERTIES; COMPRESSION RATES; DISCRETE POINTS; HIGHER-ORDER SINGULAR VALUE DECOMPOSITION; INPUT DATA; INTELLIGENT ENGINEERING SYSTEMS; INTERNATIONAL CONFERENCES; SURFACE DATA; TENSOR PRODUCT;

DATA COMPRESSION;

EID: 50249163628     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INES.2008.4481294     Document Type: Conference Paper

References (7)

1. A. Rövid, T. Hashimoto, "3D Measurement Technique for Convex Shape Acquisition." IEEE/ASME International Conference on Advanced Intelligent Mechatronics, ETH Zrich, Switzerland. September 4-7, 2007.
2. Yiu-Ming Harry Ng. R. Du, "Acquisition of 3D surface temperature distribution of a car body," Proceedings of IEEE International Conference on Information Acquisition 2005, Hong Kong, China, 27 June - 3 July, pp. 16-20, 2005.
3. H. S. Prasantha, H. L. Shashidhara, K. N. Balasubramanya Murthy, "Image Compression Using SVD." Proceedings of the International Conference on Computational Intelligence and Multimedia Applications, Washington, DC, USA, vol 3., pp. 143-145, 2007.
4. Yuhua Jiao, Bian Yang, He Wang, Xiamu Niu, "SVD Based Robust Image Content Retrieval," International Conference on Intelligent Information Hiding and Multimedia, pp. 351-354, 2006.
5. L. De Lathauwer. B. De Moor, and J. Vandewalle, "A multilinear singular value decomposition," SIAM Journal on Matrix Analysis and Applications, vol. 21, no. 4, pp. 1253-1278, 2000.
6. P. Baranyi, L. Szeidl, and P. Várlaki, Numerical Reconstruction of the HOSVD Based canonical form of polytopic dynamic models. Proc. of IEEE 10th Int. Conf. on Intelligent Engineering Systems (INES 2006), London, United Kingdom, June 26-28, 2006, pp. 196-201.
7. L. Szeidl, P. Baranyi, Z. Petres, and P. Várlaki, "Numerical reconstruction of the hosvd based canonical form of polytopic dynamic models," in 3rd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII 2007), Agadir. Morocco, 2007, pp. 111-116.