Middlebury
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CSCI0453

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
Subject:
Computer Science
Department:
Computer Science
Division:
Natural Sciences
Requirements Fulfilled:
DED
Equivalent Courses:

Sections

Spring 2013

CSCI0453A-S13 Lecture (Scharstein)

Spring 2010

CSCI0453A-S10 Lecture (Scharstein)

Spring 2006

CSCI0453A-S06 Lecture (Scharstein)