ELEC 546 - INTRO TO COMPUTER VISION
Long Title: INTRODUCTION TO COMPUTER VISION
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture/Laboratory
Credit Hours: 3
Must be enrolled in one of the following Level(s):
Description: An introduction to the basic concepts, algorithms and applications in computer vision. Topics include: cameras, camera models and imaging pipeline, low-level vision/image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from stereo, introduction to high-level vision tasks such as object recognition and face recognition. The course will involve programming and implementing basic computer vision algorithms in Matlab. Additional coursework required beyond the undergraduate course requirements. Additional coursework required beyond the undergraduate requirements. Graduate/Undergraduate Equivalency: ELEC 345. Mutually Exclusive: Cannot register for ELEC 546 if student has credit for ELEC 345.