A fuzzy inference system for simplifying surfaces with color

Chin Chen Chang, Shu Kai Yang, Jun-Wei Hsieh, Ding Zhou Duan, Ming Fen Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A fuzzy inference system is presented in this paper for simplifying surfaces with color. We first propose a fuzzy surface position uncertainty, a fuzzy surface curvature uncertainty and a fuzzy surface color uncertainty to respectively measure the variations of surface position, surface curvature and surface color while simplifying surfaces. We then utilize the TSK fuzzy inference system integrating the proposed fuzzy uncertainties to determine the cost as the criteria of removing a portion of surface models. Experimental results show that our approach does produce high quality approximations of surfaces.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsShih-Fu Chang, Heung-Yeung Shum, Mark Liao
PublisherSpringer Verlag
Pages1078-1083
Number of pages6
ISBN (Print)3540426809, 9783540426806
DOIs
StatePublished - 1 Jan 2001
Event2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 - Beijing, China
Duration: 24 Oct 200126 Oct 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2195
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001
CountryChina
CityBeijing
Period24/10/0126/10/01

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  • Cite this

    Chang, C. C., Yang, S. K., Hsieh, J-W., Duan, D. Z., & Lin, M. F. (2001). A fuzzy inference system for simplifying surfaces with color. In S-F. Chang, H-Y. Shum, & M. Liao (Eds.), Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings (pp. 1078-1083). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195). Springer Verlag. https://doi.org/10.1007/3-540-45453-5_147