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3D reconstruction from few silhouettes using statistical models and landmark points

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

3D model reconstruction is an important issue in computer graphics, computer vision and virtual reality. This paper presents a new method in rapid reconstruction of detailed 3D surface models from a small number, e.g. 3-4, of 2D silhouettes of objects taken from different views. A statistical shape model is used to fit a set of landmarks points, which are automatically created from the 2D silhouettes, to reconstruct a full detailed surface. The landmark points are optimally distributed to guarantee that the salient features of objects are included in the reconstruction process. Some proof- of-concept computational experiments have been conducted to reconstruct a test object. The results show that the proposed method is capable of reconstructing an acceptable detailed 3D surface.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2010

Publication status

Published - 01/01/2010

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424483013

ISBN (Electronic)

9781424483013

Publication IDs

  • handle.net: 10547/281702
  • Scopus: 78751543603

Host publication title

nan

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