Abstract
In the work approached here we derive facial patterns defined by shape descriptors for making the feature of the Korean young men’s 3D virtual face. The clustering algorithms calculated on the feature vertices are employed to bring out the canonical facial model from the reference model. Shape descriptors are specified with respect to convexity of the facial components such as eyebrows, eyes, nose mouth and facial shape. By the comparison, we have shown considerable dissimilarity of the facial shape descriptors between clustering algorithms.
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Chin, S., Kim, S. (2004). Deriving Facial Patterns for Specifying Korean Young Men’s 3D Virtual Face from Muscle Based Features. In: Chi, CH., Lam, KY. (eds) Content Computing. AWCC 2004. Lecture Notes in Computer Science, vol 3309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30483-8_30
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DOI: https://doi.org/10.1007/978-3-540-30483-8_30
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