
Active Contours
The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion
Springer (Publisher)
Published on 14. June 2012
Book
Paperback/Softback
XII, 352 pages
978-1-4471-1557-1 (ISBN)
Description
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.
More details
Edition
Softcover reprint of the original 1st ed. 1998
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Illustrations
XII, 352 p.
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 20 mm
Weight
687 gr
ISBN-13
978-1-4471-1557-1 (9781447115571)
DOI
10.1007/978-1-4471-1555-7
Schweitzer Classification
Other editions
Additional editions

Andrew Blake | Michael Isard
Active Contours
The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion
Book
04/1998
Springer
€85.55
Article exhausted; check different version
Content
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.