Abstract—Human face has been an interesting research topic in several fields in terms of both theoretical research and deployment applications. Such real-world problems have contributed to promoting virtual reality studies, computer graphics in general, and 3D face modeling studies in particular. Several studies have shown that different control points are selected based on different applications which need different 3D face models. This study proposes an innovative approach to automatically identify the set based on facial deformations by clustering similar deformations. Its good performance is successfully validated through practical experiments with JAFFE database.
 

Index Terms—control point set, face deformation, 3D face model

Cite: Huynh Cao Tuan, Do Nang Toan, and Lam Thanh Hien, "Automatic Selection of Key Points for 3D-Face Deformation," Journal of Advances in Information Technology, Vol. 13, No. 4, pp. 332-337, August 2022.

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