A depth–gyro sensor collects 3D point cloud data of a person’s face along with face orientation information. It is used to train a deep learning classification model, which then accurately estimates the face orientation. Credit: Chinthaka Premachandra from SIT, Japan Image Source
In recent years, artificial intelligence has demonstrated tremendous potential for the development and advancement of a wide variety of technologies. A good example is facial direction estimation, which finds applications in driver assistance systems that prevent distracted driving, methods to prevent cheating in examinations, and software for creating three-dimensional (3D) virtual avatars.
Traditional facial orientation estimation techniques …
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