University of Pittsburgh

2180

Course Title: 
Computer Vision
Credits: 
3
Description: 

In this class, students will learn about modern computer vision. The first part of the course will cover fundamental concepts such as image formation and filtering, edge detection, texture description, feature extraction and matching, grouping and clustering, model fitting, and combining multiple views. A crash course in machine learning will follow, in preparation for the second course chapter on visual recognition. We will study classic and modern approaches in object detection, deep learning, mid-level representations, active, transfer, and unsupervised learning, tracking, and human pose and activity recognition. The format will include lectures, homework assignments, exams, and a course project.

Prerequisites: 
CS 1501 ALGORITHM IMPLEMENTATION (COE 1501)
Prerequisites: 
MATH 0280 (or equivalent)
Frequency: 
At least once a year

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