Read e-book online Active Contours: The Application of Techniques from PDF

By Andrew Blake

ISBN-10: 3540762175

ISBN-13: 9783540762171

Lively Contours offers with the research of relocating photos - a subject matter of becoming value in the special effects undefined. particularly it really is excited about figuring out, specifying and studying past versions of various power and making use of them to dynamic contours. Its target is to improve and examine those modelling instruments extensive and inside a constant framework.

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

Example text

The nature of its elastic energy draws it more or less strongly to certain preferred configurations, representing prior information about shape which is to be balanced with evidence from an image. If also inertia is attributed to a snake it acquires dynamic behaviour which can be used to apply prior knowledge of motion, not just of shape. Snakes are described in detail in the next chapter. The second outstanding influence is “Pattern Theory” founded by U. Grenander in the 70s and 80s and a popular basis for image interpretation in the statistical community.

Computer Vision, 9, 2, 137–154. Tsai, R. (1987). A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE J. of Robotics and Automation, 3, 4, 323–344. Turk, M. and Pentland, A. (1991). Eigenfaces for recognition. J. Cognitive Neuroscience, 3, 1. Uenohara, M. and Kanade, T. (1995). Vision-based object registration for realtime image overlay. , editor, Computer Vision, Virtual Reality and Robotics in Medicine, Lecture Notes in Computer Science.

1991). Dynamic 3D models with local and global deformations: deformable superquadrics. IEEE Trans. on Pattern Analysis and Machine Intelligence, 13, 7. Terzopoulos, D. and Szeliski, R. (1992). Tracking with Kalman snakes. In Blake, A. , editors, Active Vision, 3–20. MIT. Terzopoulos, D. and Waters, K. (1990). Analysis of facial images using physical and anatomical models. In Proc. 3rd Int. Conf. on Computer Vision, 727–732. Terzopoulos, D. and Waters, K. (1993). Analysis and synthesis of facial image sequences using physical and anatomical models.

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


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