ELEC 345 - 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
May not be enrolled in one of the following Level(s):
Prerequisite(s): ELEC 301 OR ELEC 475 OR COMP 330
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. Cross-list: COMP 345, Graduate/Undergraduate Equivalency: ELEC 546. Mutually Exclusive: Cannot register for ELEC 345 if student has credit for ELEC 546.