Approximated relative pose solvers for efficient camera motion estimation

8Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

We propose simple and efficient methods for estimating the camera motion between two images when this motion is small. While current solutions are still either slow, or unstable in case of small translation, we show how to considerably speed up a recent stable but slow method. The reasons for this speed-up are twofold. First, by approximating the rotation matrix to first order, we obtain a smaller polynomial system to be solved. Second, because of the small rotation assumption, we can use linearization and truncation of higher-order terms to quickly obtain a single solution. Our experiments show that our approach is both stable and fast on challenging test sequences from vehicle-mounted cameras.

Cite

CITATION STYLE

APA

Ventura, J., Arth, C., & Lepetit, V. (2015). Approximated relative pose solvers for efficient camera motion estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8925, pp. 180–193). Springer Verlag. https://doi.org/10.1007/978-3-319-16178-5_12

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