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An Optimized 3D Surface Reconstruction Method Using Spatial Kalman Filtering of Projected Line Patterns

  • An-Qi Shen
  • Ping Jiang
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 73)

Abstract

Real-time 3D surface reconstruction is a widely interested technique in the manufacturing industry. In this paper, an effective 3D surface reconstruction method using the active stereo with the projection of straight line patterns is proposed. For the purpose of real-time applications, 3D surface reconstruction is achieved by using two simple line projections. A depth-map is obtained by searching the projected lines. The final 3D surface is constructed by applying a spatial Kalman filter to the measured depth-map. Because it uses very simple line projections and searches the robust line patterns, it can be a fast, reliable and cost saving 3D measurement in comparison with the sinusoidal fringes projection methods.

Keywords

Kalman Filter Reference Plane Line Pattern Gray Code Height Estimate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • An-Qi Shen
    • 1
  • Ping Jiang
    • 1
  1. 1.School of computing, informatics and mediaUniversity of Bradford, West YorkshireBradfordUnited Kingdom

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