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  • CMPSC 181

    • Introduction to Computer Vision . CMPSC 181

    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.

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    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
    These majors only cheme cpsci cmpen ee cmpsc me
    Instructors
    BEYELER M
    Michael Beyeler

    5.0

    4 reviews
    Lecture
    ILP 2101
    T R
    11:00 AM - 12:15 PM
    127 / 100 Full
    Sections
    NH 1109
    W
    09:00 AM - 09:50 AM
    25 / 25 Full
    NH 1109
    W
    10:00 AM - 10:50 AM
    38 / 25 Full
    NH 1109
    W
    11:00 AM - 11:50 AM
    26 / 25 Full
    GIRV 2128
    W
    12:00 PM - 12:50 PM
    38 / 25 Full
    Enrollment Trends
    Grading Trends (7)
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    CMPSC 181 Beyeler M Fall 2022 Total: 102
    CMPSC 181 Beyeler M Winter 2021 Total: 48
    Rate My Professors (4)
    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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