Using Dynamic Programming for Solving Variational Problems in Vision

@article{Amini1990UsingDP,
  title={Using Dynamic Programming for Solving Variational Problems in Vision},
  author={Amir A. Amini and Terry E. Weymouth and Ramesh Jain},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1990},
  volume={12},
  pages={855-867}
}
Variational approaches have been proposed for solving many inverse problems in early vision, such as in the computation of optical flow, shape from shading, and energy-minimizing active contour models. In general however, variational approaches do not guarantee global optimality of the solution, require estimates of higher order derivatives of the discrete data, and do not allow direct and natural enforcement of constraints. In this paper we discuss dynamic programming as a novel approach to… CONTINUE READING

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