Texture-Aware Simplification of Point-Based 3D Models

Point-based 3D model simplification is closely related to hierarchical clustering techniques that may be classified into agglomerative, divisive and hybrid ones. In this paper, we propose a novel divisive-clustering based algorithm, improve a hybrid-clustering based algorithm and investigate an agglomerative-clustering based algorithm for point-based 3D model simplification. Unlike most of the previous pure-geometry-driven algorithms, the proposed and the improved ones take both the geometrical and the textural information into account during the simplification process in order to preserve the most prominent geometrical or textural features at a reduced data budget. In addition, a comparative study is made on the performance of the three algorithms.