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CSCI-B 457 Introduction to Computer Vision

3 credits

  • Prerequisites: None
  • Delivery: On-Campus
  • In this course, the students will learn fundamental computer vision algorithms and basic machine learning frameworks necessary for the automated understanding of images and videos. Topics will include object recognition from images, activity/event recognition from videos, scene segmentation and clustering, motion and tracking, and deep learning for images and videos.

    Learning Outcomes

    1. Identify, formulate, and solve problems in computer vision.
    2. Evaluate computer vision systems by applying theories and methods used in the field.
    3. Design and develop innovative computer vision applications or systems.
    4. Review computer vision literature and apply theories to determine the novelty and practicality of proposed methods.
    5. Collaborate effectively in a team to develop a computer vision system.


    There is not a syllabus available for this course.