From geometry to variational calculus: theory and applications of three-dimensional vision

We present some recent results on the use of geometric and variational techniques to solve problems in computer vision. The thrust of the paper is that a mathematical approach to problems is relevant, without necessarily giving up efficiency in applications. We illustrate our ideas with several examples in the area of surveillance, augmented reality, and image synthesis.

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