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Mathematical Optimization in Graphics and Vision - Luiz Velho - Impa

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2.8. HOW TO SOLVE IT? 33<br />

has a solution. Moreover, this solution will be close to the po<strong>in</strong>t A. Geometrically,<br />

the solution is the po<strong>in</strong>t P , such that its image T (P ) is the closest po<strong>in</strong>t of the l<strong>in</strong>e<br />

r to the po<strong>in</strong>t A (see Figure 2.4).<br />

A<br />

T (P )<br />

Figure 2.4: Well-posed formulation of a problem.<br />

2.8 How to solve it?<br />

It is the purpose of this book to use optimization techniques to solve computer<br />

graphics problems.<br />

Later on we will present several examples of computer graphics problems that<br />

can be posed, <strong>in</strong> a natural way, as optimization problems. Nevertheless we should<br />

rem<strong>in</strong>d that pos<strong>in</strong>g a problem as an optimization problem does not mean that it is<br />

automatically solved, at least <strong>in</strong> the sense of obta<strong>in</strong><strong>in</strong>g an exact solution.<br />

In fact optimization problems are, <strong>in</strong> general, very difficult to solve. Some of<br />

the difficulties are discussed below.

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