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Mesh Segmentation Using Gaussian Curvature and Concaveness

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2010, 5(1), pp.33-41
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : February 28, 2010

한태원 1 SUN JEONG KIM 1

1한림대학교

Candidate

ABSTRACT

There are so many 3D objects in a database but it is not easy to search an object based on its feature or manage it. If the shape of an object is simple, it is not problem to detect features because it is easy to decide standard for mesh segmentation. However, if the shape is complex, it is a big problem. This paper proposes the efficient algorithm for mesh segmentation of 3D objects. We make one-thickness boundary lines based on Gaussian curvature and concaveness, and then segment a mesh using merging small regions to extract exact features. One-thickness boundary lines help us find exact division lines to detect precise features. By applying our algorithm, we could success to segment regions in various models which have a lot of curved faces.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.