1 Introduction -- 1.1 Organisation of the book -- 1.2 Applications -- 2 Active shape models -- 2.1 Snakes -- 2.2 Deformable templates -- 2.3 Dynamic contours -- I Geometrical Fundamentals -- 3 Spline curves -- 4 Shape-space models -- 5 Image processing techniques for feature location -- 6 Fitting spline templates -- 7 Pose recovery -- II Probabilistic Modelling -- 8 Probabilistic models of shape -- 9 Dynamical models -- 10 Dynamic contour tracking -- 11 Learning motion -- 12 Non-Gaussian models and random sampling algorithms -- A Mathematical background -- A.1 Vectors and matrices -- A.2 B-spline basis functions -- A.3 Probability -- B Stochastic dynamical systems -- B.1 Continuous-time first-order dynamics -- B.2 Second-order dynamics in continuous time -- B.3 Accuracy of learning -- C Farther shape-space models -- C.1 Recursive synthesis of shape-spaces -- Glossary of notation -- Author Index.