Hole filling of triangular mesh segments using systematic grey prediction
Recent advances in reverse engineering technology have made it possible to acquire accurate point information about model surfaces using 3D laser scanners. However, data capture can be reduced by limitations in the scanner structure or characteristics of the scanned objects, resulting in holes in the triangular mesh model and reducing the models quality. The current study seeks to fill these holes using software-based calculations and systematic grey prediction, thus preserving the original exterior surface of the reconstructed model. A 3D digital dental model was acquired using a 3D laser scanner, followed by hole detection and surface mending. Due to the simplicity and minimal dataset used in grey theory, a grey prediction system was built to perform prediction-adjustment to preserve the original dental exterior surface.
hole filling 3d digital dental models grey theory triangle mesh segments