Bayesian Super-Resolved Surface Reconstruction from Images

  title={Bayesian Super-Resolved Surface Reconstruction from Images},
  author={Vadim N. Smelyansky and Peter C. Cheeseman and David A. Maluf and Robin D. Morris},
Bayesian inference has been used successfully for many problems where the aim is to infer the parameters of a model of interest. In this paper we formulate the three dimensional reconstruction problem as the problem of inferring the parameters of a surface model from image data, and show how Bayesian methods can be used to estimate the parameters of this model given the image data. Thus we recover the three dimensional description of the scene. This approach also gives great exibility. We can… CONTINUE READING
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