Abstract
Snakes as originally proposed by Kass, Witkin and Terzopoulous are active contour models which minimise an expression of energy to locate image features. The original formulation involves hundreds of state variables and does not submit to a real-time implementation. We explore the use of a B-spline model of the feature to reduce the state space of the problem. Using a coarse to fine feature search and Lagrangian Dynamics we demonstrate a real-time, parallel implementation of B-spline snakes on a network of transputers.
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© 1991 Springer-Verlag London Limited
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Curwen, R.M., Blake, A., Cipolla, R. (1991). Parallel Implementation of Lagrangian Dynamics for real-time snakes. In: Mowforth, P. (eds) BMVC91. Springer, London. https://doi.org/10.1007/978-1-4471-1921-0_5
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DOI: https://doi.org/10.1007/978-1-4471-1921-0_5
Publisher Name: Springer, London
Print ISBN: 978-3-540-19715-7
Online ISBN: 978-1-4471-1921-0
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