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Perception-based 3D Triangle Mesh Segmentation Using Fast Marching D. L. Page A. F. Koschan
 

Summary: Perception-based 3D Triangle Mesh Segmentation Using Fast Marching
Watersheds
D. L. Page A. F. Koschan
Imaging, Robotics, and Intelligent Systems Laboratory
University of Tennessee, Knoxville, Tennessee 37996-2100
davidpage@ieee.org
M. A. Abidi
Abstract
In this paper, we describe an algorithm called Fast
Marching Watersheds that segments a triangle mesh into
visual parts. This computer vision algorithm leverages a
human vision theory known as the minima rule. Our im-
plementation computes the principal curvatures and princi-
pal directions at each vertex of a mesh, and then our hill-
climbing watershed algorithm identifies regions bounded by
contours of negative curvature minima. These regions fit the
definition of visual parts according to the minima rule. We
present evaluation analysis and experimental results for the
proposed algorithm.
1. Introduction

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences