DocumentCode
2337960
Title
Implicitization of parametric curves by matrix annihilation
Author
Yalcin, Hulya ; Unel, Mustafa ; Wolovich, William
Author_Institution
Div. of Eng., Brown Univ., Providence, RI, USA
Volume
3
fYear
2002
fDate
24-28 June 2002
Firstpage
889
Abstract
Both parametric and implicit representations can be used to model 2D curves and 3D surfaces. Each has certain advantages compared to the other. Implicit polynomial (IP) methods are not as popular as parametric procedures because the lack of general procedures for obtaining IP models of higher degree has prevented their general use in many practical applications. In most cases today, parametric equations are used to model curves and surfaces. One such parametric representation, elliptic Fourier descriptors (EFD) has been widely used to represent 2D and 3D curves, as well as 3D surfaces. Although EFDs can represent nearly all curves, it is often convenient to have an implicit algebraic description, F(x,y)=0, especially for determining whether given points lie on the curve. Algebraic curves and surfaces have proven very useful also in many model-based applications. Various algebraic and geometric invariants obtained from these implicit models have been studied rather extensively. We present a new non-symbolic implicitization technique called the matrix annihilation method, for converting parametric Fourier representations to implicit polynomial form.
Keywords
Fourier series; matrix algebra; object recognition; polynomials; 2D curves; 3D surfaces; Fourier series; algebraic curves; algebraic surfaces; elliptic Fourier descriptors; implicit polynomial methods; implicit representations; matrix annihilation; nonsymbolic implicitization technique; object recognition; parametric representations; Computer vision; Equations; Fourier series; Frequency; Matrix converters; Pattern recognition; Polynomials; Robust stability; Shape; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7622-6
Type
conf
DOI
10.1109/ICIP.2002.1039115
Filename
1039115
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