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Encoding and decoding of geometry data in a 3D model based on evaluated regularity of the model
Encoding and decoding of geometry data in a 3D model based on evaluated regularity of the model
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机译：基于模型的评估规则性，对3D模型中的几何数据进行编码和解码
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摘要
Encoding and decoding geometry data of a 3D object where encoding vertex positions includes predicting the position of a current vertex with a position predictor selected, based on a coding-cost-based criterion, from a set of position predictors 1502, 1510, and encoding a residue between the current vertex position and the selected position predictor. The set of position predictors is defined based on a value representing the regularity of a vertex position distribution in the 3D model 1508. Also disclosed and claimed is the encoding or decoding of colour attribute data associated to vertices of a 3D model or mesh by predicting the colour attribute associated to a current vertex by choosing a predictor from a set of predictors, based on a coding-cost-based criterion. The set of predictors is determined based on a value representing the regularity of a vertex position distribution in the 3D model. The regularity or irregularity of the 3D object grid can be evaluated either locally or globally by evaluating the predictors used to predict a test set of vertices 1506. A parametric predictor may be used in case of irregularity 1502, while parallelogram or E-parallelogram predictors are advantageously used in case of regularity 1510.
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