Abstract
The acquisition of 3D facial models is crucial in the gaming and film industries. In this study, we developed a facial acquisition system based on infrared structured light sensors to obtain facial-expression models with high fidelity and accuracy. First, we employed time-multiplexing structured light to obtain an accurate and dense point cloud. The template model was then warped to the captured facial expression. A model-tracking method based on optical flow was applied to track the registered 3D model displacement. Finally, the live 3D mesh was textured using high-resolution images captured by three color cameras. Experiments were conducted on human faces to demonstrate the performance of the proposed system and methods.
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