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BazAR: A vision based fast detection library
BazAR is a computer vision library based on feature points detection and
matching. In particular, it is able to quickly detect and register known
planar objects in images. Well adapted to Augmented Reality applications, it is
the result of advanced
computer vision research.
Watch some calibration screen shots
or augmented reality videos.
Downloads
Source code is available under the
GNU General Public License.
In short, if you distribute a software that uses BazAR, you have to
distribute it under GPL with the source code. Another option is to contact
us to purchase a commercial license.
Documentation
Who wrote BazAR ?
How to get started with camera calibration and augmentation
Download and install bazar. To calibrate the camera, run the example called
"singlecalib". You will have to present a flat, rigid and textured surface to
the camera, as fronto-parallel as you can. Press space, then 'Y'. Model
learning will start. After, simply move your calibration object in the field of
view. After some time, calibration computation starts.
After calibration, it is possible to augment the video stream with a very
basic 3d object. Just run the "Augment3D" sample.
How to get started with detection
Download the archive, install it, and run the sample program in
bazar/samples/filedetector.
Under Windows, run:test.bat
Under UNIX, run:./filedetector *jpg
Related Publications
Links to related software
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