Notes:
Facial motion capture is the process of recording and digitizing the movements of a person’s face in order to create a digital model or animation. This can be used in a variety of applications, including film and video game production, virtual reality, and scientific research.
There are several different techniques that can be used to accomplish facial motion capture, including:
- Marker-based motion capture: In this technique, small markers are attached to the face and tracked using cameras or other sensors. The movement of the markers is used to create a 3D model of the face.
- Structured light motion capture: This technique uses a pattern of light projected onto the face, which is then captured by a camera. The distortions in the pattern caused by the movements of the face are used to create a 3D model.
- Video-based motion capture: In this technique, the movements of the face are recorded using multiple cameras or a single camera with a wide field of view. The footage is then used to create a 3D model or animation of the face.
- Depth sensing motion capture: This technique uses sensors that can measure the distance to objects in a scene, such as infrared sensors or laser scanners. The depth data is used to create a 3D model of the face.
There is no significant difference between the terms “face capture” and “facial capture.” Both terms refer to the process of recording and digitizing the movements of a person’s face in order to create a digital model or animation. The terms “face capture” and “facial capture” are often used interchangeably and can refer to any of the various techniques that are used to record and digitize the movements of the face, such as marker-based motion capture, structured light motion capture, video-based motion capture, and depth sensing motion capture.
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