Planar Motion and Visual Odometry: Pose Estimation from Homographies
Author
Summary, in English
This thesis concerns ego-motion and pose estimation of a single camera under the assumptions of planar motion and constant internal camera parameters. Planar motion is common for cameras mounted onto mobile robots, particularly in indoor scenarios, as they remain at a constant height above the ground plane. In Paper A, a parametrisation of the camera motion and pose is presented, along with an iterative approach for determining the parameters. Paper B describes how to extend the method in Paper A to use more than one homography at a time in the estimation process, thereby improving the estimation accuracy and robustness. Paper C presents an alternative method for estimating the distance between camera positions that is independent of the estimated orientation of the cameras.
Department/s
Publishing year
2014
Language
English
Full text
Document type
Licentiate thesis
Publisher
Centre for Mathematical Sciences, Lund University
Topic
- Computer Vision and Robotics (Autonomous Systems)
- Mathematics
Status
Published
Project
- ENGROSS
Research group
- Mathematical Imaging Group
Supervisor
ISBN/ISSN/Other
- ISBN: 978-91-7623-102-9 (Printed)
- ISBN: 978-91-7623-103-6
- LUTFMA-2038-2014