Skip to content

fraudies/heading-estimation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Heading Estimation from Optic Flow

A set of methods that estimate heading from optic flow

This directory contains Matlab (R) code to demonstrate the functionality of the 13 methods that estimate self-motion from generated image flows.

Getting started

Run one of the two demo scripts (e.g. press F5): "DemoEstSelfMotion.m" or "DemoEstSelfMotionGivenDepth.m". The first script includes examples for the estimation of self-motion from flow. Methods within the second script estimate self-motion from flow and depth information.

Bugs

Please report problems, bugs, or suggestions to florian.raudies__at__gmail __dot_com (Replace at by @ and dot by .).

Attribution

If you use any of the methods or code, please cite our review article on the estimation of self-motion: Raudies, F. and Neumann, H. (2012) A Review and Evaluation of Methods Estimating Ego-Motion. Computer Vision and Image Understanding 116 pp. 606-633. (http://dx.doi.org/10.1016/j.cviu.2011.04.004)

Copyright & License

Copyright (C) 2012 Florian Raudies, 04/12/2012, Boston University.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

About

A set of methods that estimate heading from optic flow

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages