Surface Denoising Using a Tight Frame

Crete, Greece June 16-June 19

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/CGI.2004.1309264

Computer Graphics International 2004 ...

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by I. A. Kakadiaris Articles by L. Shen Articles by M. Papadakis Articles by I. Konstantinidis Articles by D. Kouri Articles by D. Hoffman

	ASCII Text	x
	I. A. Kakadiaris, L. Shen, M. Papadakis, I. Konstantinidis, D. Kouri, D. Hoffman, "Surface Denoising Using a Tight Frame," Computer Graphics International Conference, pp. 553-560, Computer Graphics International 2004 (CGI'04), 2004.

	BibTex	x
	@article{ 10.1109/CGI.2004.1309264, author = {I. A. Kakadiaris and L. Shen and M. Papadakis and I. Konstantinidis and D. Kouri and D. Hoffman}, title = {Surface Denoising Using a Tight Frame}, journal ={Computer Graphics International Conference}, volume = {0}, year = {2004}, issn = {1530-1052}, pages = {553-560}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGI.2004.1309264}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Graphics International Conference TI - Surface Denoising Using a Tight Frame SN - 1530-1052 SP553 EP560 A1 - I. A. Kakadiaris, A1 - L. Shen, A1 - M. Papadakis, A1 - I. Konstantinidis, A1 - D. Kouri, A1 - D. Hoffman, PY - 2004 KW - Tight frame KW - Wiener filter KW - surface denoising VL - 0 JA - Computer Graphics International Conference ER -

I. A. Kakadiaris, University of Houston

L. Shen, West Virginia University

M. Papadakis, University of Houston

I. Konstantinidis, University of Houston

D. Kouri, University of Houston

D. Hoffman, Iowa State University

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.

Index Terms:

Tight frame, Wiener filter, surface denoising

Citation:

I. A. Kakadiaris, L. Shen, M. Papadakis, I. Konstantinidis, D. Kouri, D. Hoffman, "Surface Denoising Using a Tight Frame," cgi, pp.553-560, Computer Graphics International 2004 (CGI'04), 2004

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.