G. Taubin et al., PARAMETERIZED FAMILIES OF POLYNOMIALS FOR BOUNDED ALGEBRAIC CURVE ANDSURFACE FITTING, IEEE transactions on pattern analysis and machine intelligence, 16(3), 1994, pp. 287-303
Interest in algebraic curves and surfaces of high degree as geometric
models or shape descriptors for different model-based computer vision
tasks has increased in recent years, and although their properties mak
e them a natural choice for object recognition and positioning applica
tions, algebraic curve and surface fitting algorithms often suffer fro
m instability problems. One of the main reasons for these problems is
that, while the data sets are always bounded, the resulting algebraic
curves or surfaces are, in most cases, unbounded. In this paper, we pr
opose to constrain the polynomials to a family with bounded zero sets,
and use only members of this family in the fitting process. For every
even number d we introduce a new parameterized family of polynomials
of degree d whose level sets are always bounded, in particular, its ze
ro sets. This family has the same number of degrees of freedom as a ge
neral polynomial of the same degree. Three methods for fitting members
of this polynomial family to measured data points are introduced. Exp
erimental results of fitting curves to sets or points in R2 and surfac
es to sets of points in R3 are presented.