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Modeling of binocular vision system for 3D reconstruction with improved genetic algorithms

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Abstract

This paper models the binocular vision system focused on 3D reconstruction and describes an improved genetic algorithm (GA) for estimating camera system parameters. The two-camera system model that takes into account camera radial distortion includes a total of 24 parameters. The proposed improved GA is used to solve this nonlinear optimization problem with high dimension. In our improved GA, the adaptive control of camera parameter search interval and the catastrophe strategy with elitist preservation are employed. The experimental results indicate that our improved GA is effective to solve the multi-peak function optimization problem and the 3D reconstruction accuracy of the binocular vision system is promising.

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Author information

Correspondence to Ke Zhang.

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Zhang, K., Xu, B., Tang, L. et al. Modeling of binocular vision system for 3D reconstruction with improved genetic algorithms. Int J Adv Manuf Technol 29, 722–728 (2006). https://doi.org/10.1007/s00170-005-2566-4

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Keywords

  • Binocular vision system
  • Genetic algorithm
  • Nonlinear optimization
  • Reverse engineering
  • 3D reconstruction