EECS 504 - Foundations of Computer Vision
Section: 001
Term: WN 2018
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
Credits:
3 (Non-LSA credit).
Requirements & Distribution:
BS
Waitlist Capacity:
unlimited
Advisory Prerequisites:
Undergraduate calculus, linear algebra, probability and programming.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

The course lays in framework for the extraction of useful information from images. Topic include representations of visual content (e.g., functions, points, graphs); visual invariance; mathematical and computational models of visual content; optimization methods for vision. Theoretical treatment and concrete examples, e.g., feature learning, segmentation image stitching, both covered.

EECS 504 - Foundations of Computer Vision
Schedule Listing
001 (LEC)
P
32194
Open
35
 
-
MW 3:00PM - 4:30PM
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