3 papers
cs.GR2021
Integer Coordinates for Intrinsic Geometry Processing
Mark Gillespie, Nicholas Sharp, Keenan Crane
In this work, we present a general, efficient, and provably robust representation for intrinsic triangulations. These triangulations have emerged as a powerful tool for robust geom…
cs.CV2020
PointTriNet: Learned Triangulation of 3D Point Sets
Nicholas Sharp, Maks Ovsjanikov
This work considers a new task in geometric deep learning: generating a triangulation among a set of points in 3D space. We present PointTriNet, a differentiable and scalable appro…
cs.GR2018
The Vector Heat Method
Nicholas Sharp, Yousuf Soliman, Keenan Crane
This paper describes a method for efficiently computing parallel transport of tangent vectors on curved surfaces, or more generally, any vector-valued data on a curved manifold. Mo…