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GFT: GPU Fast Triangulation of 3D Points

  • Jairo R. Sánchez
  • Hugo Álvarez
  • Diego Borro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6375)

Abstract

Traditionally triangulating 3D points from image features is a complex task that involves non-linear optimization techniques that are computationally very expensive. This work proposes an algorithm based on Monte Carlo simulations that fits well on the graphics hardware and can perform the triangulation in real time. Results are compared against the well known Levenberg-Mardquart using real video sequences, showing that it achieves the same precision but in much less time.

Keywords

Single Instruction Multiple Data Bundle Adjustment Structure From Motion Reprojection Error Multiple View Geometry 
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

  • Jairo R. Sánchez
    • 1
  • Hugo Álvarez
    • 1
  • Diego Borro
    • 1
  1. 1.CEIT and Tecnun (University of Navarra)San SebastiánSpain

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