Title
Constructing implicit shape models from boundary data
Abstract
In this paper we develop a method to construct an implicit shape model that approximatesa solid object from its characteristic function. The method is based onmultiresolution edge detection and reconstruction using dyadic wavelets. It synthesizesedges at multiple resolutions such that the reconstructed function preserves theshape boundary and the gradient of the function gives the normal field at the boundary.This procedure provides a rough estimate of a tubular neighborhood of the shape....
Year
DOI
Venue
1995
10.1006/gmip.1995.1021
CVGIP: Graphical Model and Image Processing
Keywords
DocType
Volume
characteristic function,edge detection
Journal
57
Issue
ISSN
Citations 
3
Graphical Models and Image Processing
1
PageRank 
References 
Authors
0.41
5
3
Name
Order
Citations
PageRank
Luiz Velho11162120.74
Demetri Terzopoulos2140804210.64
Jonas Gomes39919.12