Open Access
7 May 2015 Verification of visual odometry algorithms with an OpenGL-based software tool
Piotr Skulimowski, Pawel Strumillo
Author Affiliations +
Abstract
We present a software tool called a stereovision egomotion sequence generator that was developed for testing visual odometry (VO) algorithms. Various approaches to single and multicamera VO algorithms are reviewed first, and then a reference VO algorithm that has served to demonstrate the program’s features is described. The program offers simple tools for defining virtual static three-dimensional scenes and arbitrary six degrees of freedom motion paths within such scenes and output sequences of stereovision images, disparity ground-truth maps, and segmented scene images. A simple script language is proposed that simplifies tests of VO algorithms for user-defined scenarios. The program’s capabilities are demonstrated by testing a reference VO technique that employs stereoscopy and feature tracking.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Piotr Skulimowski and Pawel Strumillo "Verification of visual odometry algorithms with an OpenGL-based software tool," Journal of Electronic Imaging 24(3), 033003 (7 May 2015). https://doi.org/10.1117/1.JEI.24.3.033003
Published: 7 May 2015
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Cameras

Visualization

Imaging systems

Algorithm development

Motion estimation

3D image processing

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