Title :
Surface denoising using a tight frame
Author :
Kakadiaris, I.A. ; Shen, L. ; Papadakis, M. ; Konstantinidis, I. ; Kouri, D. ; Hoffman, D.
Author_Institution :
Dept. of Comput. Sci., Houston Univ., TX
Abstract :
In this paper, we propose a new method to denoise a surface. This method is motivated by the Laplacian flow and the theory of tight frames. Mesh denoising is achieved by building local Wiener filtering into the detail representation of the surface. We have performed a number of experiments to assess the accuracy, advantages and limitations of our approach with very encouraging results
Keywords :
Wiener filters; computational geometry; image denoising; image reconstruction; mesh generation; smoothing methods; solid modelling; surface fitting; Laplacian flow; Wiener filtering; mesh denoising; surface denoising; tight frame theory; Computer graphics; Iterative methods; Laplace equations; Mathematics; Multidimensional signal processing; Noise reduction; Signal processing algorithms; Smoothing methods; Surface reconstruction; Wiener filter;
Conference_Titel :
Computer Graphics International, 2004. Proceedings
Conference_Location :
Crete
Print_ISBN :
0-7695-2171-1
DOI :
10.1109/CGI.2004.1309264
