OpenCV 101: A Practical Guide to the Open Computer Vision Library (4 of 4)
Session 4 of the introduction to the OpenCV computer vision library, covering video processing and machine learning. This session was presented by LLNL staff scientist Matt Rever at the Edward Teller Education Center on Aug. 25, 2016.
Abstract:
This course will provide a pragmatic, hands-on introduction to OpenCV suitable for any engineers or scientists who work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.
The course was sponsored by Lawrence Livermore National Laboratory's Center for Advanced Signal and Image Sciences (CASIS) and LLNL's Engineering Directorate, and co-sponsored by the Oakland-East Bay Chapter of the IEEE Signal Processing Society.
To view the full agenda, visit https://casis.llnl.gov/seminars/opencv
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