Active Contours deals with the analysis of moving images - a topic of growing importance within the computer graphics industry. In particular it is concerned with understanding, specifying and learning prior models of varying strength and applying them to dynamic contours. Its aim is to develop and analyse these modelling tools in depth and within a consistent framework.
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Introduction and Applications.- Active Shape Models.- Geometric Fundamentals: Spline Curves. Shape-Space Models. Image Processing Techniques for Feature Location. Fitting Spline Templates. Pose Recovery.- Probabilistic Modelling: Probabilistic Models of Shape. Dynamical Models. Dynamic Contour Tracking. Learning Motion. Non-Gaussian Models and Random Sampling Algorithms.- Mathematical Background.- Stochastic Dynamical Systems.- Filtering and Random Sampling.- Glossary of Notations.- Bibliography.- Author Index.- Subject Index.
Book by Blake Andrew Isard Michael
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Da: HPB-Red, Dallas, TX, U.S.A.
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