Geometric Snakes for Triangular Meshes
No Thumbnail Available
Date
2002
Journal Title
Journal ISSN
Volume Title
Publisher
Blackwell Publishers, Inc and the Eurographics Association
Abstract
Feature detection is important in various mesh processing techniques, such as mesh editing, mesh morphing, mesh compression, and mesh signal processing. In spite of much research in computer vision, automatic feature detection even for images still remains a difficult problem. To avoid this difficulty, semi-automatic or interactive techniques for image feature detection have been investigated. In this paper, we propose a geometric snake as an interactive tool for feature detection on a 3D triangular mesh. A geometric snake is an extension of an image snake, which is an active contour model that slithers from its initial position specified by the user to a nearby feature while minimizing an energy functional. To constrain the movement of a geometric snake onto the surface of a mesh, we use the parameterization of the surrounding region of a geometric snake. Although the definition of a feature may vary among applications, we use the normal changes of faces to detect features on a mesh. Experimental results demonstrate that geometric snakes can successfully capture nearby features from user-specified initial positions.
Description
@article{10.1111:1467-8659.t01-1-00582,
journal = {Computer Graphics Forum},
title = {{Geometric Snakes for Triangular Meshes}},
author = {Lee, Y. and Lee, S.},
year = {2002},
publisher = {Blackwell Publishers, Inc and the Eurographics Association},
ISSN = {1467-8659},
DOI = {10.1111/1467-8659.t01-1-00582}
}