EE 5440 - Geometric/Deep Comp Vision

Institution:

University of Wyoming

Subject:

EE

Description:

Geometric methods including exponential coordinates 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 will be used for computer vision. CNN architectures, classification, optimization, detection, identification, segmentation, GANs, and transformers are covered. Prerequisites: MATH 2250.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uwyo.edu

Phone Number:

(307) 766-1121

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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