Curvature regularization for resolution-independent images

2Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A resolution-independent image models the true intensity function underlying a standard image of discrete pixels. Previous work on resolution-independent images demonstrated their efficacy, primarily by employing regularizers that penalize discontinuity. This paper extends the approach by permitting the curvature of resolution-independent images to be regularized. The main theoretical contribution is a generalization of the well-known elastica energy for regularizing curvature. Experiments demonstrate that (i) incorporating curvature improves the quality of resolution-independent images, and (ii) the resulting images compare favorably with another state-of-the-art curvature regularization technique. © 2013 Springer-Verlag.

Author supplied keywords

Cite

CITATION STYLE

APA

MacCormick, J., & Fitzgibbon, A. (2013). Curvature regularization for resolution-independent images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8081 LNCS, pp. 165–179). https://doi.org/10.1007/978-3-642-40395-8_13

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