Mesh repair with user-friendly topology control

Abstract

Limitations of current 3D acquisition technology often lead to polygonal meshes exhibiting a number of geometrical and topological defects which prevent them from widespread use. In this paper we present a new method for model repair which takes as input an arbitrary polygonal mesh and outputs a valid two-manifold triangle mesh. Unlike previous work, our method allows users to quickly identify areas with potential topological errors and to choose how to fix them in a userfriendly manner. Key steps of our algorithm include the conversion of the input model into a set of voxels, the use of morphological operators to allow the user to modify the topology of the discrete model, and the conversion of the corrected voxel set back into a two-manifold triangle mesh. Our experiments demonstrate that the proposed algorithm is suitable for repairing meshes of a large class of shapes.

A Hole-filling Method Based on Fuzzy Inference

“…Therefore, the repairing algorithm is more suitable for the bottom of a grid in the given geometric process based on the classification method, which provides the compatibility model of the hole for the application layer. Hetroy et al [2] allowed the user to identify potential topology errors in the selected area, used morphological operators to repair the topology of the discrete model, and corrected the vertex transformation. In this way, the feature extraction of a complex shape, which involves a large computation, can be restored.…”

“…The point clouds were from a threedimensional laser scanner, PICZA LPX-250. Casciola's algorithm [4], Attene's algorithm [10], and Hetroy's algorithm [2] were compared with the results in this paper. Point clouds of models are adopted from molar without part crown, molar without part occlusal and canine without tip or side, which their numbers are 48921, 48103 and 47148, respectively.…”

A tool for ship hull surface healing and domain preparation for downstream applications

“…The latter approach can be further categorised into two: surface-based methods and volume-based methods. The first, operate directly on the input mesh, while the second convert the mesh into a set of voxels before repair (Stern et al, 2013;Piret et al, 2012;Hétroy et al, 2008). Bischoff and Kobbelt (2005) combine the advantage of surface oriented and volumetric algorithms to exploit the topological simplicity of a voxel grid to reconstruct a cleaned up surface in the vicinity of intersections and cracks, but keep the input tessellation in regions that are away from these inconsistencies.…”

Repairing the cerebral vascular through blending Ball B-Spline curves with G2 continuity

“…There are plenty of researches on the model repair for geometric and topological errors present in polygonal mesh and CAD models [15,16]. The existing methods can be classified into two categories: the surfacebased methods and the volume-based methods [17]. The aim of the work is to solve the problem of local connectivity, global topology and geometry [18].…”