CSCI 0453

Computer Vision

Computer Vision
The goal of computer vision is to extract information from digital images and movies. Topics covered in this course include algorithms for edge and motion detection, stereo vision, object recognition, and recovering structure from motion. A range of mathematical techniques will be used to model problems and algorithms. Students will implement, test, and evaluate several computer vision techniques, and will gain experience with analyzing real, noise-contaminated image data. (CSCI 0202 and MATH 0200) 3 hrs. lect./lab
Computer Science
Computer Science
Natural Sciences
Requirements Fulfilled:
Equivalent Courses:


Spring 2021

CSCI0453A-S21 Lecture

Spring 2020

CSCI0453A-S20 Lecture (Grant)

Spring 2016

CSCI0453A-S16 Lecture (Scharstein)

Spring 2013

CSCI0453A-S13 Lecture (Scharstein)

Spring 2010

CSCI0453A-S10 Lecture (Scharstein)

Spring 2006

CSCI0453A-S06 Lecture (Scharstein)