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Optical Engineering

Preprocessing of region of interest localization based on local surface curvature analysis for three-dimensional reconstruction with multiresolution
Author(s): Wanjing Li; Rainer Schütze; Martin Böhler; Frank Boochs; Franck S. Marzani; Yvon Voisin
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Paper Abstract

We present an approach to integrate a preprocessing step of the region of interest (ROI) localization into 3-D scanners (laser or stereoscopic). The definite objective is to make the 3-D scanner intelligent enough to localize rapidly in the scene, during the preprocessing phase, the regions with high surface curvature, so that precise scanning will be done only in these regions instead of in the whole scene. In this way, the scanning time can be largely reduced, and the results contain only pertinent data. To test its feasibility and efficiency, we simulated the preprocessing process under an active stereoscopic system composed of two cameras and a video projector. The ROI localization is done in an iterative way. First, the video projector projects a regular point pattern in the scene, and then the pattern is modified iteratively according to the local surface curvature of each reconstructed 3-D point. Finally, the last pattern is used to determine the ROI. Our experiments showed that with this approach, the system is capable to localize all types of objects, including small objects with small depth.

Paper Details

Date Published: 1 June 2009
PDF: 9 pages
Opt. Eng. 48(6) 067203 doi: 10.1117/1.3156731
Published in: Optical Engineering Volume 48, Issue 6
Show Author Affiliations
Wanjing Li, Univ. de Bourgogne (France)
Rainer Schütze, i3mainz (Germany)
Martin Böhler, i3mainz (Germany)
Frank Boochs, i3mainz (Germany)
Franck S. Marzani, Univ. de Bourgogne (France)
Yvon Voisin, Univ. de Bourgogne (France)

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