What are the requirements for face quality and posture in face fusion?

The requirements for face quality and posture in face fusion typically include the following:

1. Face Quality:

   • Clarity: The face should be clear and well-defined, with no blurriness or distortion.
   • Completeness: The entire face should be visible, including the eyes, nose, mouth, and chin.
   • Lighting: Proper lighting is essential to avoid shadows and ensure even illumination across the face.
   • Expression: A neutral expression is usually preferred to maintain consistency in the fusion process.

   Example: In a facial recognition system, a clear, well-lit, and expressionless face ensures accurate identification and fusion with another image.

2. Posture:

   • Frontal View: The face should be directly facing the camera to avoid perspective distortions.
   • Alignment: The head should be straight and aligned, with no tilting or rotation.
   • Consistency: The posture should be consistent across different images to ensure accurate fusion.

   Example: When capturing images for a face fusion application, ensuring the subject is looking straight into the camera and sitting up straight helps in achieving a seamless fusion result.

For applications involving face fusion, especially in the context of cloud computing, services like Tencent Cloud's AI solutions can provide advanced facial recognition and processing capabilities, enhancing the accuracy and quality of face fusion.