CMPUT 428 - Computer Vision

★ 3 (fi 6)(EITHER, 3-0-3)

Faculty of Science

Introduction to the geometry and photometry of the 3D to 2D image formation process for the purpose of computing scene properties from camera images. Computing and analyzing motion in image sequences. Recognition of objects (what) and spatial relationships (where) from images and tracking of these in video sequences. Prerequisites: CMPUT 201 or 275; one of CMPUT 340, 418, ECE 240, or equivalent knowledge; one of MATH 101, 115, 118, 136, 146 or 156, and one of MATH 102, 125, or 127.

No syllabi

Winter Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE B1
(44786)
22
2023-01-05 - 2023-04-12
TH 14:00 - 15:20 (CAB 269)
Primary Instructor: Martin Jagersand

Labs

Section Capacity Dates + Times Instructor(s)
LAB H01
(44787)
11
2023-01-05 - 2023-04-12
T 17:00 - 19:50 (CSC 1-05)
LAB H02
(44788)
11
2023-01-05 - 2023-04-12
W 17:00 - 19:50 (CSC 1-05)