Introduction to Computer Vision

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ELEC 242 or ELEC 301 or ELEC 475 or COMP 330 Description: An introduction to the basic concepts, algorithms and applications in computer vision. Topics include: image processing pipelines, low-level vision/image processing methods such as filtering and edge detection, mid-level vision topics such as segmentation and feature detection, and high-level vision tasks such as object recognition and face recognition with neural networks. The course will involve programming and implementing basic computer vision algorithms in Python. Cross-list: COMP 447 . Graduate/Undergraduate Equivalency: ELEC 546 . Mutually Exclusive: Cannot register for ELEC 447 if student has credit for ELEC 345/ ELEC 546→ELEC 447→unlocks 1 courses

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