3D Object Simplification using Chain Code-based Point Clouds
Document Type
Article
Publication Date
3-2023
Publication Title
Multimedia Tools and Applications
Abstract
This work aims to obtain a sequence of 3D point clouds associated with a 3D object that reduces the volume data and preserves the shape of the original object. The sequence contains point clouds that give different simplifications of the object, from a very fine-tuned representation to a simple and sparse one. Such a sequence is important because it satisfies different needs, from a faithful representation with a low reduction of points to a significant data reduction that only preserves the main properties of the object. We construct the sequence in the following way. We first obtain a voxelization of the original 3D object. Then, we organize the voxels by slices to get a single chain code that represents the original 3D object. The point clouds depend on the key points of the chain code. The Hausdorff distance and the average geometric error prove that the point clouds are invariant under rigid rotations and maintain the shape of the object. Our results indicate that the proposed method has an average efficiency of 60% regarding the state-of-the-art simplification methods.
Repository Citation
Tapia-Duenas, Osvaldo A.; Sanchez-Cruz, Hermilo; and Lopez, Hiram H., "3D Object Simplification using Chain Code-based Point Clouds" (2023). Mathematics and Statistics Faculty Publications. 350.
https://engagedscholarship.csuohio.edu/scimath_facpub/350
DOI
10.1007/s11042-022-13588-3
Volume
82
Comments
Osvaldo A. Tapia-Due ̃nas was partially supported by CONACyT, CVU 781156. Hermilo S ́anchez-Cruz was partially supported by Universidad Aut ́onoma de Aguascalientes, grant PII22-5. Hiram H. L ́opez was partially supported by an AMS–Simons Travel Grant.