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. Language: English