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Optimal 3D surface reconstruction from multiview photographic images

  • Simant Prakoonwit
    ,
  • Ralph Benjamin
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

This paper describes a new method for reconstructing 3D surface using a small number, e.g. 10, of 2D photographic images. The images are taken at different viewing directions by a perspective camera with full prior knowledge of the camera configurations. The reconstructed object's surface is represented as a set of triangular facets. We empirically demonstrate that if the viewing directions are uniformly distributed around the object's viewing sphere, then the reconstructed 3D points optimally cluster closely on the highly curved part of the surface and are widely spread on smooth or flat parts. The advantage of this property is that the reconstructed points along a surface or a contour generator are not under sampled or underrepresented because surfaces or contours should be sampled or represented with more densely points where their curvatures are high. The more complex the contour's shape, the greater the number of points is automatically generated by the proposed method. Given that the viewing directions are uniformly distributed, the number and distribution of the reconstructed points depend on the shape or the curvature of the surface regardless of the size of the surface of the object.

Publication Information

Output type

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

Original language

English

Publication milestones

  • Published - 01/11/2009

Publication status

Published - 01/11/2009

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9780769537917

ISBN (Electronic)

9780769537917

External Publication IDs

  • handle.net: 10547/279155
  • Scopus: 72349084718

Host publication title

2009 International Conference on CyberWorlds

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