METHOD AND APPARATUS FOR ESTIMATING ERROR METRICS FOR MULTI-COMPONENT 3D MODELS

摘要

To calculate an error metric between two 3D multi-components models, the facets of 3D components of the first 3D model are uniformly sampled. Between each sampling point in the first 3D model and the surface of the second 3D model, a point-to-surface error is calculated. The point-to-surface errors are then processed to generate the error metric between the first and second 3D models. To speed up computation, the second 3D model can be partitioned into cells, and only the closet cell to a particular sampling point in the first 3D model is used to calculate the point-to-surface error, when computing error or metrics for individual 3D components in the 3D models, the same uniform sampling and cell partition are employed. Consequently, the error of the whole 3D model is substantially a weighted average of the errors computed for the individual components.