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<p>The deformable sheet, a physical model that provides a natural framework for addressing many vision problems that can be solved by smoothness-constrained optimization, is described. Deformable sheets are characterized by a global energy functional, and the smoothness constraint is represented by a linear internal energy term. Analogous to physical sheets, the model sheets are deformed by problem-specific external forces and, in turn, impose smoothness on the applied forces. The model unifies the properties of scale and smoothness into a single parameter that makes it possible to perform scale space tracking by properly controlling the smoothness constraint. Specifically, the desired scale space trajectory is found by solving a differential equation in scale. The simple analytic dependence on scale also provides a mechanism for adaptive step size control. Results from application of the deformable sheet model to various problems in computational vision are presented.</p>
deformable sheet models; computational vision; smoothness-constrained optimization; global energy functional; smoothness constraint; linear internal energy; scale space tracking; differential equation; computer vision; image processing; optimisation

G. Whitten, "Scale Space Tracking and Deformable Sheet Models for Computational Vision," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 697-706, 1993.
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