Kishore Bubna

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1 The authors would like to thank James Miller for helpful discussions and comments. They would also like to acknowledge the financial support of the National Science Foundation under grant IRI-9408700. Abstract The problem of model selection — automatically choosing the correct function to describe a data set — is relevant to many areas of computer vision.(More)
Many problems in computer vision require estimation of both model parameters and boundaries, which limits the usefulness of standard estimation techniques from statistics. Example problems include surface reconstruction from range data, estimation of parametric motion models, fitting circular or elliptic arcs to edgel data, and many others. This paper(More)
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