3D scanners generate irregularly distributed cloud of points in most of the cases. Dealing with such data, often in the form of triangular meshes, requires a pre-processing step to regularize the triangle facets shape and size. In this paper, we propose CSIOR, a novel mesh regularization technique which is capable of producing quasi-equilateral triangles, and distinguished by two novel features, namely, its intrinsic ordered aspect and its preservation of the geometric texture of the surface (relief patterns). We evidence the superiority of our technique over current methods through a series of experiments performed on a variety of geometric textured surfaces.

CSIOR: An Algorithm for Ordered Triangular Mesh Regularization / Tortorici C.; Werghi N.; Berretti S.. - STAMPA. - 2020-:(2020), pp. 2696-2700. ( 2020 IEEE International Conference on Image Processing, ICIP 2020 Abu Dhabi 2020) [10.1109/ICIP40778.2020.9190919].

CSIOR: An Algorithm for Ordered Triangular Mesh Regularization

Berretti S.
2020

Abstract

3D scanners generate irregularly distributed cloud of points in most of the cases. Dealing with such data, often in the form of triangular meshes, requires a pre-processing step to regularize the triangle facets shape and size. In this paper, we propose CSIOR, a novel mesh regularization technique which is capable of producing quasi-equilateral triangles, and distinguished by two novel features, namely, its intrinsic ordered aspect and its preservation of the geometric texture of the surface (relief patterns). We evidence the superiority of our technique over current methods through a series of experiments performed on a variety of geometric textured surfaces.
2020
Proceedings - International Conference on Image Processing, ICIP
2020 IEEE International Conference on Image Processing, ICIP 2020
Abu Dhabi
2020
Goal 9: Industry, Innovation, and Infrastructure
Tortorici C.; Werghi N.; Berretti S.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1221591
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