Computer Science

B457 Introduction to Computer Vision

Credits: 3

Prerequisite(s): CSCI-B 351 or C 343.

In this course, the students will learn fundamental computer vision algorithms as well as basic machine learning frameworks necessary for 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, deep learning for images and videos.

Spring 2018

Instructor: Michael Ryoo
Time: 2:30PM-3:45PM Tue, Thu
Location: Multiple Locations
Course URL (syllabus link or course homepage)

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