Huang, YanYan, FeihuWang, BeiPeng, JingliangBing-Yu Chen and Jan Kautz and Tong-Yee Lee and Ming C. Lin2013-10-312013-10-312011978-3-905673-84-5https://doi.org/10.2312/PE/PG/PG2011short/043-048In this paper we propose a novel scheme for simplifying a surfel set with the resultant surfels computed and distributed in an effort to preserve prominent geometric and textural features with a reduced number of primitives. It works by iteratively collapsing local neighborhoods around surfels until a desired data reduction ratio is reached. The local neighborhood collapses are prioritized according to a cost metric that takes into account the local complexities of both the geometric and the textural information. Experimental results demonstrate that, besides yielding outstanding model quality at a reduced model size, the proposed scheme provides the flexibility for the users to specify the relative priorities in the geometric and the textural fidelity.Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Curve, surface, solid, and object representationsFeature Adaptive Surfel Set Simplification