Ebook: Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion

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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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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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.
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-23
Active shape models....Pages 25-37
Front Matter....Pages 39-39
Spline curves....Pages 41-68
Shape-space models....Pages 69-96
Image processing techniques for feature location....Pages 97-113
Fitting spline templates....Pages 115-139
Pose recovery....Pages 141-156
Front Matter....Pages 157-157
Probabilistic models of shape....Pages 159-184
Dynamical models....Pages 185-211
Dynamic contour tracking....Pages 213-234
Learning motion....Pages 235-254
Non-Gaussian models and random sampling algorithms....Pages 255-279
Back Matter....Pages 281-352

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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.
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-23
Active shape models....Pages 25-37
Front Matter....Pages 39-39
Spline curves....Pages 41-68
Shape-space models....Pages 69-96
Image processing techniques for feature location....Pages 97-113
Fitting spline templates....Pages 115-139
Pose recovery....Pages 141-156
Front Matter....Pages 157-157
Probabilistic models of shape....Pages 159-184
Dynamical models....Pages 185-211
Dynamic contour tracking....Pages 213-234
Learning motion....Pages 235-254
Non-Gaussian models and random sampling algorithms....Pages 255-279
Back Matter....Pages 281-352
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