EECS 442 - Computer Vision
Section: 001
Term: FA 2018
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
Requirements & Distribution:
Enforced Prerequisites:
EECS 281; (C or better) or Graduate Standing.
Other Course Info:
F (Alternate years).
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

This course is an introduction to 2D and 3D computer vision. topics include: cameras models, the geometry of multiple views; shape reconstruction methods from visual cues: stereo, shading, shadow, contours; low-level image processing methodologies such as edge detection, feature detection; mid-level vision techniques (segmentation and clustering); Basic high-level vision problems: face detection, object and scene recognition, object categorization, and human tracking

EECS 442 - Computer Vision
Schedule Listing
001 (LEC)
F 2:30PM - 4:30PM
M 3:00PM - 4:00PM
Note: STUDENTS ARE AUTO-ENROLLED IN LECTURE WHEN THEY ELECT A DISCUSSION. Registration in EECS 442 is currently restricted to EECS undergraduates, of whom approximately 90 will be admitted, many by override. Thirty or so additional seats will be available by override to all students, EECS or not, undergraduate or not. To request an override, a student must submit a request to the ECE Override System at . EECS undergraduates should also enter the waitlist. 442-1 will meet in Chrysler 220, with 504.
011 (DIS)
W 1:00PM - 2:00PM
012 (DIS)
W 5:30PM - 6:30PM
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