Computer Graphics Laboratory

Geometric Snakes for Triangular Meshes

Yunjin Lee    Seungyong Lee

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.

Status

Eurographics 2002

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