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 model’s 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.

► We adopted the prediction method for filling the holes in mesh models.
► We provided a new method to fill the holes in meshes.
► It is beneficial for mesh-handling in model scanning and solid constructions in the field of reverse engineering.