Object recognition can be formulated as an optimization problem. The o
bjective function measures for instance the evidential support for any
particular projection of the parameterized object contour model onto
the input image. A genetic algorithm can be used to find a set of para
meters which provide an optimal interpretation of the image in terms o
f the model. Preliminary test results demonstrate the feasibility of t
he proposed approach.