Virtual figure expression driving method and system
A virtual character and driving method technology, applied in the field of virtual character expression driving, can solve the problems of the production method cannot be applied to the environment of real-time interaction, cannot meet the market demand, time-consuming and labor-intensive cost, etc., and achieves accurate and stable capture, low cost, Good real-time effect
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[0069] The present invention uses depth and color cameras to extract the information weight of facial expressions of real people through a new algorithm, and finally guides virtual characters to make the same expressions as real people in real time. According to the depth camera, the accurate point cloud data of human facial skin displacement is collected, and the color camera is used for data collection. The color camera is responsible for subdividing the facial expressions into 72 types through deep learning data, and mobilizing different facial muscles according to the displacement of facial muscles. The weight value is used to find the closest expression to drive the facial expression of the avatar. According to the application of different platforms, the actual platform computing power is different, and less than 72 weights can be used to adapt to low computing power platforms (such as mobile devices).
[0070] Description of the workflow of the facial capture system:
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