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EENG 512 - Computer Vision - Colorado School of Mines
orthographd - Posted on July 15, 2015 at 5:10 am. Updated on July 15, 2015 at 5:10 am.
Computer vision is the process of using computers to acquire images, transform images, and extract symbolic descriptions from images. The automatic classification of blood cells in medical images and the robotic control of an unmanned lunar rover are examples of computer vision applications. This course provides an overview of this field, starting with image formation and low level image processing. We then go into detail on the theory and techniques for extracting features from images, measuring shape and location, and recognizing objects. Design ability and hands-on projects will be emphasized, using image processing software and hardware systems. The intended audience for the course is graduate students in science and engineering, although qualified undergraduates are welcome. 3 hours lecture.
Course Materials: http://inside.mines.edu/~whoff/courses/EENG512/
Video Lectures: https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3