Multipoint Statistics in Reservoir Modelling and in Computer Vision

This paper shows that there is quite a long history of using multipoint statistics in the vision science literature for modelling textures. while they have somewhat different concerns to the oil industry (less concern for data conditioning for example), the methods used may prove interesting. The link between Markov random fields and sequential algorithms is reviewed and a fast method to sidestep problems with insufficient training data is briefly considered