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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
Unlocks CMPSC 281B ECE 281B
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BEYELER M
Michael Beyeler
5.0
6 reviews
ILP 3105
F
12:00 PM - 12:50 PM
25 / 25 Full

GIRV 2112
F
13:00 PM - 13:50 PM
25 / 25 Full

GIRV 2115
F
14:00 PM - 14:50 PM
25 / 25 Full

GIRV 2112
F
15:00 PM - 15:50 PM
25 / 25 Full

See All
Fall 2024 . Beyeler M
ILP 2101
T R
11:00 AM - 12:15 PM
Fall 2024 .
GIRV 2128
W
12:00 PM - 12:50 PM
See All
CMPSC 181 Beyeler M Fall 2024 Total: 99
CMPSC 181 Beyeler M Fall 2022 Total: 102
6
5.0
CS181 . Beyeler M 11 Months Ago

Class had 3 programming assignments with EC and optional HW assignments. Programing assignments were pretty useless but HW is necessary because they're just like the exams. Exams are super long and focus on very minor details so you must know everything. Prof is really nice and lectures were interesting and easy to follow. Super organized class.

0 helpful 0 unhelpful
CS181 . Beyeler M 4 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 1 Year, 6 Months Ago

Don't see how anyone could have any complaints about this guy.

0 helpful 0 unhelpful
CS165A . Beyeler M 1 Year, 8 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 4 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 4 Years Ago

Great course! Enthusiastic lecturer

0 helpful 0 unhelpful
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