Lecture
Geometric/Deep Comp Vision
Course and term details
- Sequence
- 01
- Part of term
- 1
- Term
- Fall 2026
- Delivery
- Traditional
- Delivery code
- TR
- Linked section
- No
- Open section
- Yes
Fall 2026
EE5440 CRN 13275Geometric/Deep Comp Vision
LectureMainMajeed, YaqoobMon Wed Fri 10:00 a.m. – 10:50 a.m.
Section data from the UW course catalog via uwyoschedule. Confirm seats and meeting times in WyoWeb before you register.
Schedule
Mon, Wed, Fri
10:00 a.m. – 10:50 a.m.
Engineering Building 3106
08/31/2026 – 12/11/2026
Meeting type
Class · LEC
Faculty
Majeed, YaqoobPrimary
ymajeed@uwyo.edu
Seats
21
open of 24 seats
Enrollment and waitlist
- Enrollment
- 3
- Maximum enrollment
- 24
- Seats available
- 21
- Wait capacity
- 0
- Wait count
- 0
- Wait seats available
- 0
Course 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
3
All credit fields
- Credit range
- 3
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