DocumentCode :
3399033
Title :
Parametric surface representation using convolution integrals
Author :
Narasimhamurthi, N. ; Shridhar, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
fYear :
1991
fDate :
14-17 May 1991
Firstpage :
637
Abstract :
A novel surface representation scheme based on convolution integrals has been proposed for improving the efficiency of computer representation of surfaces. The representation is a parametric representation which uses (possibly complex) exponential functions instead of low-degree polynomials. Preliminary investigations indicate that the representation (under suitable restrictions) is robust and is applicable to a wide class of commonly occurring surfaces
Keywords :
computer vision; integral equations; computer representation; convolution integrals; exponential functions; parametric representation; robust; surface representation scheme; Application software; Computer applications; Computer graphics; Computer vision; Convolution; Face detection; Polynomials; Robustness; Surface treatment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-0620-1
Type :
conf
DOI :
10.1109/MWSCAS.1991.252032
Filename :
252032
Link To Document :
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