Topics include the basics of how cameras work, signal
and image processing, principles of optics and photography, introduction
to stereo and motion, and having fun with images and photography.
Rigorous treatment of multi-view geometry, motion,
tracking, image segmentation, object detection and recognition. The
advanced level Sensors course explores a broad range of sensor modalities
including acoustic, tactile and force, in addition to vision.
Recent years have seen convergence of vision with
graphics, machine learning, statistics, optics, and even medicine, resulting
in exciting new avenues of research. These courses keep up with these
trends making sure students and researchers are at the cutting edge
of computer vision.
|School of computer science | Carnegie Mellon University|