vision: chamfer_matching | cmvision | color_calib | cv_mech_turk | image_segmentation | image_synthesizer | people | place_recognition | pytoro | scanmatcher | toro | visodo | vslam_demo

Package Summary

Place recognition using a vocabulary tree.

GRAVEYARD

This package is currently in the graveyard until it is ported to work with the new visual odometry libraries. It and its dependencies can be checked out from:

https://code.ros.org/svn/wg-ros-pkg/graveyard/

Data files

The place_recognition and visual_odometry packages are research code; apologies if they are difficult to work with in their current form.

To use this package you will need a vocabulary tree trained on a large dataset of images. We have one here: http://vault.willowgarage.com/wgdata1/vol1/jbowman/holidays.tree

This tree was trained on the C-descriptors devised by Michael Calonder (calonder_descriptor). This descriptor has its own training stage which produces a random forest classifier. The classifier used to generate the above tree is available in two ways:

Tutorials

Links to relevant tutorials

Wiki: place_recognition (last edited 2010-02-23 00:15:27 by KenConley)