Synthesizing novel views from image data is a widely investigated topic in both computer
graphics and computer vision, and has many applications like stereo or multi-view rendering …

We show how to sample uniformly within the three-sided region bounded by a circle, a radial
ray, and a tangent, called a “chock.” By dividing a 2D planar rectangle into a background …

Geometric approximation of multi-dimensional data sets is an essential algorithmic
component for applications in machine learning, computer graphics, and scientific …

This report summarizes the work performed under the project" Linear Programming in
Strongly Polynomial Time." Linear programming (LP) is a classic combinatorial optimization …

On the forefront of research in many scientific fields, experts rely on experimentation and
simulation to better understand phenomena occurring in nature and society. The goal of …

Generating samples of point clouds and meshes with blue noise characteristics is desirable
for many applications in rendering and geometry processing. Working with laser-scanned or …

In this work, we present a comparative study of 24 different and unique decomposition-
based algorithms derived from Fractal Decomposition Algorithm and Simultaneous …

The classical problem of calculating the volume of the union of d-dimensional balls is known
as" Union Volume." We present line-sampling approximation algorithms for Union Volume …