Title
On Low Discrepancy Samplings in Product Spaces of Motion Groups.
Abstract
Deterministically generating near-uniform point samplings of the motion groups like SO(3), SE(3) and their n-wise products SO(3)^n, SE(3)^n is fundamental to numerous applications in computational and data sciences. The natural measure of sampling quality is discrepancy. In this work, our main goal is construct low discrepancy deterministic samplings in product spaces of the motion groups. To this end, we develop a novel strategy (using a two-step discrepancy construction) that leads to an almost exponential improvement in size (from the trivial direct product). To the best of our knowledge, this is the first nontrivial construction for SO(3)^n, SE(3)^n and the hypertorus T^n. We also construct new low discrepancy samplings of S^2 and SO(3). The central component in our construction for SO(3) is an explicit construction of N points in S^2 with discrepancy \tilde{\O}(1/\sqrt{N}) with respect to convex sets, matching the bound achieved for the special case of spherical caps in \cite{ABD_12}. We also generalize the discrepancy of Cartesian product sets \cite{Chazelle04thediscrepancy} to the discrepancy of local Cartesian product sets. The tools we develop should be useful in generating low discrepancy samplings of other complicated geometric spaces.
Year
Venue
Field
2014
CoRR
Discrete mathematics,Combinatorics,Direct product,Exponential function,Sampling (statistics),Mathematics
DocType
Volume
Citations 
Journal
abs/1411.7753
2
PageRank 
References 
Authors
0.54
6
4
Name
Order
Citations
PageRank
Chandrajit L. Bajaj12880306.59
Abhishek Bhowmick 00012205.65
Eshan Chattopadhyay38411.71
David Zucherman42588266.65