Lectures: Sunday 13:30-15:30, Ullman 707
Tutorials: Sunday 15:30-16:30, Ullman 707
Overview:This is an introductory level course in Computer Vision, which describes the basics, the common techniques and algorithms and the open questions in the field.The Homework include hands-on experience with some problems and algorithms.
Prerequisites:A passing grade in an Image Processing course is required.Recommended such courses are "Signal and Image Processing by Computer" (236327) or "Image Processing and Analysis" (046200). Students without the prerequisite must first receive the lecturer's agreement to participate in the course, and participate in a basic image processing course (including HW assignment) in the beginning of the semester.
Grading Policy: Four equally weighted homework assignments (50%). Final exam (50%).