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Proceedings of CAD'16, 2016, 221-225
Facial Conformation Modeling via Hierarchical Model Parameterization

Zhida Li, Ji Ma, Hsi-Yung Feng, The University of British Columbia

Abstract. Research on computer face modeling can be dated back to the pioneering work of Parke in 1974.  Many studies have been done since then to improve the process of face modeling. The existing face modeling methods can be classified into two approaches: the reconstructive and the creative approaches. The reconstructive approach extracts the face geometry from measurements on a physical face. 3D laser scanners and calibrated or non-calibrated cameras are usually used to implement this approach. The result of the reconstructive approach is accurate.  However, this approach involves considerable time and expense and the generated face model is generally quite difficult to animate. On the other hand, the creative approach offers full control over the created face model, including the ability to produce animated expressions and highly efficient facial geometry manipulation. It facilitates manual specification of a face model where a priori knowledge can be injected. Two different face modeling methods are widely used in this approach. The first one constructs a face model from scratch employing a general-purpose 3D modeling software tool like Maya and is generally more suited for computer artists.  The second one, which is employed in this work, is to generate a new face model by deforming a parameterized, generic face model.

Keywords. Facial Conformation, Anthropometry, Hierarchical Parameterization

DOI: 10.14733/cadconfP.2016.221-225