Abstract
The development of the Internet of Things and 3D technology promotes the wide application of face models in 3D animation. However, because the expression is inconsistent with the facial muscle movement, the reconstruction results may be far from the real appearance in the process of reconstructing the face appearance. Therefore, this paper proposes a character expression simulation model under the framework of 3DS Max. According to the relationship between head bones and muscles, a facial muscle motion model was established. Then, the expression simulation design of the original three-dimensional animation character “yaya” was carried out under the framework of 3DS Max technology. The experimental results of “yaya” facial expression test showed that the face simulation model using this method not only has vivid and natural expression but also conforms to the law of facial muscle movement, which provides an important reference for the construction and application of 3D face model.
Highlights
With the rapid development of the Internet of ings technology, face recognition and reconstruction have attracted much attention [1,2,3]. 3D face reconstruction has become a research hotspot because of its wide application in computer vision, face recognition, face animation, computer games, and other fields [4, 5]
Large-scale animation companies in foreign countries are using expensive expression capture devices for virtual character expression simulation work. e method is used in many big movies; for example, in the animation film “final fantasy” all the digital virtual human characters are made through motion capture so that the digital actor can reach the effect of the real person, which can be called a landmark work [10]. en, the appearance of “avatar” created the facial expression capture technology in the action capture technology in 2010. us, the creation of virtual characters is vivid and flexible. e expressive techniques are rich and delicate, and the characters are rich in personality, which shows the lifelike characteristics of virtual characters for the majority of the audience [20]
Compared with 3D deformation model (3DMM), which models the face space through a single Gaussian component and uses multiple mixed components [14], the method proposed in this paper effectively improves the accuracy of face feature recognition and achieves good recognition results for all postures in motion. e accuracy of this method is tested by using the face model constructed in the paper, which shows that the reconstructed 3D face shape is closer to the real 3D shape than the simulation results of existing methods
Summary
With the rapid development of the Internet of ings technology, face recognition and reconstruction have attracted much attention [1,2,3]. 3D face reconstruction has become a research hotspot because of its wide application in computer vision, face recognition, face animation, computer games, and other fields [4, 5]. With the development of computer technology, virtual characters often appear in 3D animation design and they are widely used in all kinds of animation [9, 10]. Erefore, how to create more vivid virtual character expressions in the current environment has become the focus of 3D animation design research. Some scholars use single front photos to reconstruct 3D face models, which only need general facial expression and normal lighting [19, 20]. Most of the existing studies use the external features of the 3D face to build a more realistic virtual face model under different conditions, but these methods are difficult to truly reflect the actual expression features of the face in the state of human motion
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