EE 5440

Geometric/Deep Computer Vision

University of Wyoming · UGRD · Fall 2026

1 section
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Geometrick methods including exponential corrdinates for describing rigid motion, quaternions, pinhole models of cameras, and models of stereo cameras. Reconstruction of a 3D scene. Deep learning methods using convolutional and other neural networks wil lbe used for computer vision. CNN architectures, classification, optimization, detection, identification, segmentation, GANs, and transformers are covered.

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Class #wyoming-1525Fall 2026UGRD3 credits
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