Share Email Print

Proceedings Paper

New approach to optimal 3D object surface matching
Author(s): Mehmet Celenk
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper describes a method of optimal 3-D object surface representation used for feature- based parametric matching. First, the spatial and frequency domain methods are presented for the determination of an optimal grid spacing for 3-D object surface representation. The spatial domain approach is based on the measurement of the total variations of the object surface function, f(x,y), in the constant x and constant y planes. The frequency domain approach utilizes the Nyquist criterion and an ideal 2-D rectangular low-pass filter in an iterative operation. Two error criteria are defined based on the magnitude and shape features of f(x,y) as the measure of effectiveness of the optimal grid spacing for 3-D object surface representation. Second, a parametric matching is devised as a second order mapping function which maps the boundary features of f(x,y) in the cross section planes of the object and model surfaces.

Paper Details

Date Published: 10 June 1993
PDF: 12 pages
Proc. SPIE 1904, Image Modeling, (10 June 1993); doi: 10.1117/12.146681
Show Author Affiliations
Mehmet Celenk, Ohio Univ. (United States)

Published in SPIE Proceedings Vol. 1904:
Image Modeling
Lawrence A. Ray; James R. Sullivan, Editor(s)

© SPIE. Terms of Use
Back to Top