GPU-accelerated and efficient multi-view triangulation for scene reconstruction

@article{Mak2014GPUacceleratedAE,
  title={GPU-accelerated and efficient multi-view triangulation for scene reconstruction},
  author={Jason Mak and Mauricio Hess-Flores and Shawn Recker and John D. Owens and Kenneth I. Joy},
  journal={IEEE Winter Conference on Applications of Computer Vision},
  year={2014},
  pages={61-68}
}
This paper presents a framework for GPU-accelerated N-view triangulation in multi-view reconstruction that improves processing time and final reprojection error with respect to methods in the literature. The framework uses an algorithm based on optimizing an angular error-based L1 cost function and it is shown how adaptive gradient descent can be applied for convergence. The triangulation algorithm is mapped onto the GPU and two approaches for parallelization are compared: one thread per track… CONTINUE READING

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