3D Modeling and Rendering White Papers
Hyperbolic and Parabolic Quadric Surface Fitting Algorithms Comparison Between the Least Squares Approach and the Parameter Optimization
Overview Locating and classifying quadric surfaces is a significant step in the recognition of 3D manufactured objects because quadric surfaces are commonly occuring shapes in man-made products. Surface fitting based on the input sample data point set is an effective strategy for quadric surface recognition. Two algorithms of quadric surface fitting that are especially useful for hyperboloid and paraboloid fitting are described. One is the Least Squares Approach and the other is the Parameter Optimization Approach. A comparison is made between the performances of these two methods.
| Publisher | The University of Alabama | File Format | PDF, requires Acrobat Rdr 5 |
|---|---|---|---|
| Date Published | August 2003 | Downloads | 92 |
| Format | White Papers | ||
| Topics | |||
-
Did you find this white paper useful?
White Paper RSS
Download
Register
