Writing an uncomplicated, robust, and scalable three-dimensional convex hull algorithm is
challenging and problematic. This includes, coplanar and collinear issues, numerical …

We present a hybrid algorithm to compute the convex hull of points in three or higher
dimensional spaces. Our formulation uses a GPU-based interior point filter to cull away …

The randomized incremental convex hull algorithm is one of the most practical and important
geometric algorithms in the literature. Due to its simplicity, and the fact that many points or …

Computing or approximating the convex hull of a dataset plays a role in a wide range of
applications, including economics, statistics, and physics, to name just a few. However …

This study examines various algorithms for computing the convex hull of a set of n points in a
d-dimensional space. Convex hulls are fundamental in computational geometry and are …

Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel
Programming: ParGeo: a library for parallel Page 1 POSTER: ParGeo: A Library for Parallel …

Computing the convex hull of a set of points is a fundamental issue in many fields, including
geometric computing, computer graphics, and computer vision. This problem is …

This work presents an optimization technique that reduces the computational cost for
building the Convex Hull from a set of points. The proposed method pre-processes the input …

An increased interest in computer-aided heritage reconstruction has emerged in recent
years due to the maturity of sophisticated computer vision techniques. Concretely, feature …

A novel algorithm is presented to compute the convex hull of a point set in ℝ3 using the
graphics processing unit (GPU). By exploiting the relationship between the Voronoi diagram …