Spring 2022 - CMPT 762 G100
Computer Vision (3)
Class Number: 5554
Delivery Method: In Person
Selected topics in computer vision including cameras, edge detection, feature matching, optical flow, alignment, epipolar geometry, stereo, structure-from-motion, recognition, segmentation, detection, and deep learning.
Computer vision is the process of automatically extracting information from images and video. This course covers 1) image classification, object detection, and image segmentation techniques that are based on mostly deep neural networks and to some extent classical techniques; and 2) 3D computer vision techniques, including camera models, calibration, and 3D reconstruction. We will also cover other state-of-the-art deep neural architectures for computer vision applications, such as metric learning, generative adversarial networks, and recurrent neural networks.
The grading will be based on 5 coding assignments.
Computer Vision: Algorithms and Applications, Richard Szeliski, http://szeliski.org/Book/
Graduate Studies Notes:
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TEACHING AT SFU IN SPRING 2022
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