Overview of computer vision problems and techniques for analyzing the content of images and video. Topics include image formation, edge detection, image segmentation, pattern recognition, texture analysis, optical flow, stereo vision, shape representation and recovery techniques, issues in object recognition, and case studies of practical vision systems.

Prerequisites: Upper-division standing in Electrical Engineering, Computer Engineering, Computer Science, Chemical Engineering or Mechanical Engineering.

4

Units

Letter

Grading

1, 2, 3

Passtime

Upper division only

Level Limit

Engineering

College
These majors only cheme cmpen cmpsc cpsci ee me
BEYELER M
Michael Beyeler
4 reviews
Lecture
ILP 2101
T R
11:00 AM - 12:15 PM
49 / 50 Closed
Sections
NH 1109
W
09:00 AM - 09:50 AM
13 / 13 Full
NH 1109
W
10:00 AM - 10:50 AM
11 / 12
NH 1109
W
11:00 AM - 11:50 AM
12 / 12 Full
GIRV 2128
W
12:00 PM - 12:50 PM
13 / 13 Full
See All
ECE 181 Beyeler M Fall 2022 Total: 51
ECE 181 Beyeler M Winter 2021 Total: 48
CS181 . Beyeler M 3 Years Ago

This class had multiple choice exams and the programming assignments were easy, and lowest scores are dropped. You get to learn introductory computer vision topics and it is a fun experience overall.

2 helpful 0 unhelpful
CS165A . Beyeler M 3 Months Ago

A fantastic professor who explains the requirements well. He is knowledgeable in his field and helps students understand and explore outside of lectures. The class is graded mainly on projects and tests. Homework is optional in this class.

0 helpful 0 unhelpful
PSY130 . Beyeler M 3 Years Ago

I love professor Beyeler! Hes super nice and his lectures are very clear. His expectations for what you need to know is very clear as well. He made visual neuroscience very fun and interesting!

2 helpful 0 unhelpful
PSY130 . Beyeler M 3 Years Ago

Great course! Enthusiastic lecturer

0 helpful 0 unhelpful
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