Create Interactive 3D Facial Animations from a Single Image

[ 31 October 2021 | vol. 14 | no. 2 | pp. 11-22 ]

About Authors:

Adhi Susanto
-University of Gadjah Mada Yogyakarta, Indonesia

Abstract:

In this paper, we propose a comprehensive method for designing facial parameters that facilitate both 3D face reconstruction and 3D facial animation using a standard face model based on a given 2D image of a person's face. Our approach is structured around two distinct groups of parameters that are closely related to muscle motion in the face. The first group of parameters captures individual variations in facial features and expressions, allowing for a personalized representation of a person's unique facial structure and characteristics. This includes differences in the shape, size, and positioning of facial elements such as the eyes, nose, and mouth, as well as variations in muscle tone and skin texture across different individuals. The second group of parameters is dedicated to controlling facial animation, enabling dynamic expressions and movements that mimic real-life emotional responses. These parameters allow for the manipulation of muscle movements to create a wide range of animated facial expressions, enhancing the realism of the 3D models. One of the key advantages of our model is its dual capability to manage both the inherent individual differences among subjects and the broader animation techniques necessary for expressive character modeling. To validate our approach, we conducted extensive tests and evaluations by constructing and animating 3D models based on images of real people. This process allowed us to demonstrate the effectiveness of our model in capturing the subtleties of facial expressions and the diversity of individual facial structures. Through this work, we aim to contribute to advancements in fields such as computer graphics, gaming, and virtual reality, where realistic facial animations are crucial.

Keywords:

3D face reconstruction; Facial animation; 2D Image; 3D Models

 

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