On the computation of optimal transport maps using gradient flows and multiresolution analysis

3Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The optimal mass transport methodology has numerous applications in econometrics, fluid dynamics, automatic control, statistical physics, shape optimization, expert systems, and meteorology. Further, it leads to some beautiful mathematical problems. Motivated by certain issues in image registration, visual tracking and medical image visualization, we outline in this note a straightforward gradient descent approach for computing the optimal L 2 optimal transport mapping which may be easily implemented using a multiresolution scheme. We discuss the well-posedness of our scheme, and indicate how the optimal transport map may be computed on the sphere. © 2008 Springer London.

Cite

CITATION STYLE

APA

Dominitz, A., Angenent, S., & Tannenbaum, A. (2008). On the computation of optimal transport maps using gradient flows and multiresolution analysis. Lecture Notes in Control and Information Sciences, 371, 65–78. https://doi.org/10.1007/978-1-84800-155-8_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free