Information processing device and method
By deriving and scaling face normal vectors to a maximum scalar value, the method controls data length and accuracy of vertex normal vectors, enhancing the precision and efficiency of V-DMC encoding.
Patent Information
- Application Number
- PCT/JP2025/017666
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-05-31
- Filing Date
- 2025-05-15
- Publication Date
- 2025-12-04
AI Technical Summary
The derivation of vertex normal vectors in V-DMC encoding requires mutual exclusion and conversion to integer types, leading to an increase in data length and potential accuracy issues due to the dependence on face normal vector areas, which can result in increased processing requirements and reduced precision.
Derive a maximum scalar value of face normal vectors and scale them to limit the range of vertex normal vectors, using this value to encode displacement vectors in a local coordinate system, thereby controlling the data length and maintaining accuracy.
This method suppresses the increase in data length and processing load of vertex normal vectors, maintaining accuracy and reducing the difference between encoded and original meshes, thus improving subjective quality and processing efficiency.