Short Communication to SMI 2011: Surface feature based mesh segmentation

  • Authors:
  • Jun Wang;Zeyun Yu

  • Affiliations:
  • University of Wisconsin, Computer Science Department, 3200 N. Cramer St, Milwaukee, WI 53211, United States;University of Wisconsin, Computer Science Department, 3200 N. Cramer St, Milwaukee, WI 53211, United States

  • Venue:
  • Computers and Graphics
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Mesh segmentation has a variety of applications in product design, reverse engineering, and rapid prototyping fields. This paper presents a novel algorithm of mesh segmentation from original scanning data points, which essentially consists of three steps. Normal based initial decomposing is first performed to recognize plane features. Then we implement further segmentation based on curvature criteria and Gauss mapping, followed by the detection of quadric surface features. The segmentation refinement is finally achieved using B-spline surface fitting technology. The experimental results on many 3D models have demonstrated the effectiveness and robustness of the proposed segmentation method.