The CMU Landmark-Based Pose Dataset
Robert T. Collins, Robotics Institute, Carnegie Mellon University
This is a 3D landmark-based pose estimation dataset from
Carnegie Mellon University. The dataset contains measured
3D landmark points, and a set of pan-tilt observations of
these landmarks from 5 cameras mounted on campus. This is
enough information to compute the pose (location and orientation)
of the cameras. My code for doing the pose computation is
included. It is described in Section 4 of the paper
R.Collins and Y.Tsin, "Calibration of an Outdoor Active Camera
System," IEEE Computer Vision and Pattern Recognition (CVPR'99),
Ft.Collins, CO, June 23-25, 1999.
In order to get the dataset,
download CMUpose.tar
and untar to get the following directories
CMUpose/data/
CMUpose/src/
In the data/ directory you will find
landmarks.dat
which is a file of GPS landmark data. Read the header to decipher the
format. The position of the landmarks on campus is depicted in the
gif file campuspts.gif.
You will also find the following set of pan-tilt
measurement files for each of 5 cameras on campus (measured by sighting a
subset of the landmarks in the landmarks.dat file)
porter_calib.dat
prb_calib.dat
roberts_calib.dat
smith_calib.dat
wean_calib.dat
Again read the header to understand the format.
In the src/ directory you will find my pose calibration code. It is
perhaps the best example of how to read and use the data in the above
files. Go to the src/ directory and type "make". I've compiled it
under SGI IRIX and RedHat Linux without problems. It will make
an executable called posecalib.
Run "posecalib" with no arguments to see what the input arguments
should be.
To try a test run, type
posecalib ../data/landmarks.dat ../data/prb_calib.dat 1
and compare the results with the file prbpose.out. If the results
deviate significantly there is a problem.
You are the alpha test site! Good luck.
-Bob Collins
Robotics Institute
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA 15213
EMAIL: rcollins@cs.cmu.edu
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