학술논문

Constructing Implicit Shape Models from Boundary Data
Document Type
Article
Source
Graphical Models and Image Processing; May 1995, Vol. 57 Issue: 3 p220-234, 15p
Subject
Language
ISSN
10773169
Abstract
We develop a method to construct an implicit shape model that approximates a solid object from its characteristic function. The method is based on multiresolution edge detection and reconstruction using dyadic wavelets. It synthesizes edges at multiple resolutions such that the reconstructed function preserves the shape boundary, and the gradient of the function gives the normal vector field at the boundary. Several examples and applications of the procedure are given. One of the applications consists of the procedure of obtaining a rough estimate of the tubular neighborhood of a shape. We also apply this procedure to obtain an approximate, but accurate, conversion from a parametric to an implicit surface. Copyright 1995, 1999 Academic Press