A Simple Method for Fitting Sphere-Like Surfaces

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 29; no. 9; pp. 1673 - 1678
• Main Authors: Penna, M.A., Dines, K.A.
• Format: Journal Article
• Language: English
• Published: Los Alamitos, CA IEEE 01.09.2007; IEEE Computer Society; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Artificial Intelligence; Computation; Computer Graphics; Computer science; control theory; systems; data fitting; Data points; Exact sciences and technology; Face; Fittings; Heart; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Intelligence; Laplace equations; Least squares approximation; Nonuniform; Numerical Analysis, Computer-Assisted; Pattern analysis; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Reproducibility of Results; Sensitivity and Specificity; Shape; Signal Processing, Computer-Assisted; Sphere-like surface; Spherical harmonics; Spine; Spline; Subtraction Technique; Surface fitting; X-ray tomography; Sphere; Input output; Surface reconstruction; data fitting; phere-like surface; spherical harmonics; Spherical harmonic; Surface fitting; Curve fitting; Pattern analysis; Artificial intelligence
• ISSN: 0162-8828; 1939-3539
• DOI: 10.1109/TPAMI.2007.1114

In this paper, we present a new and simple method for fitting a spherelike surface to a set of data points in 3-space. In comparison to the standard method that involves using spherical harmonics, this method is conceptually simpler and computationally less complex and intensive, especially when used to address problems in which data is sparse or nonuniform.