A comparison of normal estimation schemes

A comparison of normal estimation schemes

Full Text:

PDF

Buy this Article

Authors:	Torsten Möller	Department of Computer and Information Science and The Advanced Computing Center for the Arts and Design, The Ohio State University, Columbus, Ohio
	Raghu Machiraju	NSF Engineering Research Center for Computational, Field Simulation and Department of Computer Science, Mississippi State University, Mississippi
	Klaus Mueller	Department of Computer and Information Science, The Ohio State University, Columbus, Ohio
	Roni Yagel	Department of Computer and Information Science and The Advanced Computing Center for the Arts and Design, The Ohio State University, Columbus, Ohio

	1997 Article
Bibliometrics
· Downloads (6 Weeks): 0 · Downloads (12 Months): 7 · Downloads (cumulative): 255 · Citation Count: 27

Published in:

	· Proceeding
	VIS '97 Proceedings of the 8th conference on Visualization '97
	Pages 19-ff. IEEE Computer Society Press Los Alamitos, CA, USA ©1997 table of contents ISBN:1-58113-011-2

Tools and Resources

Buy this Article
TOC Service:
- Email
- RSS
Save to Binder
Export Formats:
- BibTeX
- EndNote
- ACM Ref

Publisher Site

Tags: algorithms design drivative filters experimentation filter design interpolation filters normal estimation raytracing reliability taylor series expansion efficient volume rendering volumetric

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage Privacy Policy Code of Ethics Contact Us

Useful downloads:

Adobe Acrobat

QuickTime

Windows Media Player

Real Player