Monte-Carlo methods for Computer Vision
نویسنده
چکیده
In figure 1, suppose we are throwing darts to each of the Cartesian systems. The probability of a dart falling anywhere in the red area is easy to compute when we are dealing with analytical shapes such as a rectangle or a circle; but how do we compute the probability of success in the third case? One approach is the Riemann integration method by separating the whole system into a thin grid and computing the ratio RedSquares AllSquares , from which we get an approximation of the red area. A problem with this approach is that the computational cost increases exponentially with the dimensionality of the area.
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تاریخ انتشار 2009