Stochastic Modelling and Reconstruction of Random Shapes
This thesis originates from the problem of reconstructing the three-dimensional shape of objects, when the only available data are two-dimensional images. The solution presented is based on stochastic models for random object shapes and measurements, in combination with practical surface representation and simulation methods. As a means to handle general, unknown object types, stochastic models f