CS 479 - Computer Vision Fundamentals

Unit(s): 3

Algorithms for face detection and face recognition are now widely employed for surveillance, security and entertainment applications. This course will delve into the study and implementation of such algorithms for detecting generic objects (pedestrians, animals, buildings, traffic signs, etc.). It will involve learning about (i) image filtering operations such as smoothing, thresholding and edge detection, (ii) interest point detection and representation methods such as SIFT and HOG, and (iii) machine learning classification techniques such as SVM and convolutional neural networks.

Prerequisite(s): CS 315 with C- or better
Typically Offered Variable Intermittently
May Be Repeated No
Teaching Mode: Face-to-Face Grading: Graded