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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gunn, S.R. Nixon, M.S. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Electron. & Comput. Sci., Southampton Univ., UK (Gunn, S.R.) |
| Abstract | Snakes are now a very popular technique for shape extraction by minimising a suitably formulated energy functional. A dual snake configuration using dynamic programming has been developed to locate a global energy minimum. This complements recent approaches to global energy minimisation via simulated annealing and genetic algorithms. These differ from a conventional evolutionary snake approach, where an energy function is minimised according to a local optimisation strategy and may not converge to extract the target shape, in contrast with the guaranteed convergence of a global approach. The new technique employing dynamic programming is deployed to extract the inner face boundary, along with a conventional normal-driven technique to extract the outer face boundary. Application to a database of 75 subjects showed that the outer contour was extracted successfully for 96% of the subjects and the inner contour was successful for 82%. The results demonstrated the benefits that could accrue from inclusion of face features, giving an appropriate avenue for future research. |
| Starting Page | 581 |
| Ending Page | 585 |
| File Size | 772446 |
| Page Count | 5 |
| File Format | |
| ISBN | 081867282X |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.1996.546890 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-08-25 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic programming Head Active contours Data mining Minimization methods Hair Shape Simulated annealing Gunn devices Intersymbol interference |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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