Abstract
The paper applied the SNAKE model to segmentation of 3D real facial model: First, using physiological knowledge of the facial organs distribution to get the initial processing region; Second, using bending energy and tensile energy to compose the internal energy, using total energy of vertex’s characteristic to compose external energy and using the area contained by the vertexes as the constraint, building up the equation of energy’s changing; finally, doing the iterative operation to equation and get the segmentation result when the equation value is minimum. Experiment results in real 3D models show the algorithm’s validity and superiority.
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Lin, Z., Guo, Z., Liang, J. (2012). An Effective 3D Facial Segmentation Algorithm Based on SNAKE Model. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_71
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DOI: https://doi.org/10.1007/978-3-642-31919-8_71
Publisher Name: Springer, Berlin, Heidelberg
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