Benjamin C. Appleton

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In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points from the circle’s circumference, assuming independent, identically distributed GAUSSIAN measurement errors. We propose an algorithm based on Branch and Bound to obtain the Maximum Likelihood Estimate and show that this algorithm obtains the optimal estimate.(More)
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