US Patent Application 18127487. TEMPORAL PREDICTION BASED VERTEX POSITION COMPRESSION simplified abstract
TEMPORAL PREDICTION BASED VERTEX POSITION COMPRESSION
Organization Name
Inventor(s)
Jun Tian of Belle Mead NJ (US)
Chao Huang of Palo Alto CA (US)
Xiang Zhang of Sunnyvale CA (US)
Xiaozhong Xu of State College PA (US)
TEMPORAL PREDICTION BASED VERTEX POSITION COMPRESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18127487 titled 'TEMPORAL PREDICTION BASED VERTEX POSITION COMPRESSION
Simplified Explanation
The abstract describes a method for predicting the movement of vertices in a mesh over time.
- The method determines neighboring vertices of a current vertex in a mesh at a specific time.
- Each neighboring vertex is connected to the current vertex through an edge in the mesh.
- The method calculates the estimation errors of the neighboring vertices by comparing their positions in a reference frame (at a different time) with their positions in the current frame.
- A prediction residue is determined for the current vertex based on the neighboring estimation errors.
- Prediction information for the current vertex is generated using the prediction residue.
Original Abstract Submitted
A plurality of neighboring vertices of a current vertex in a current frame of a mesh is determined. The current frame corresponds to the mesh at a first time instance. Each of the plurality of neighboring vertices is connected to the current vertex through a respective edge in the mesh. A plurality of neighboring estimation errors of the plurality of neighboring vertices is determined. Each of the plurality of neighboring estimation errors indicates a difference between a reference vertex of a corresponding one of the plurality of neighboring vertices in a reference frame and the corresponding one of the plurality of neighboring vertices in the current frame. The reference frame corresponds to the mesh at a second time instance. A prediction residue of the current vertex is determined based on the plurality of neighboring estimation errors. Prediction information of the current vertex is generated based on the determined prediction residue.
