Fast Object Recognition in Noisy Images Using Simulated Annealing

@inproceedings{Betke1995FastOR,
  title={Fast Object Recognition in Noisy Images Using Simulated Annealing},
  author={Margrit Betke and Nicholas C. Makris},
  booktitle={ICCV},
  year={1995}
}
A fast simulated annealing algorithm is developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hypothesized object and an image. The normalized correlation coe cient is used as a measure of the match. Templates are generated on-line during the search by transforming model images. Simulated annealing reduces the search time by orders of magnitude with respect to an exhaustive search. The algorithm is applied to… CONTINUE READING
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