CMSC426

Computer Vision

Reviews for this course Testudo

Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program. Restriction: Permission of CMNS-Computer Science department. An introduction to basic concepts and techniques in computervision. This includes low-level operations such as image filtering and edge detection, 3D reconstruction of scenes using stereo and structure from motion, and object detection, recognition and classification.

Fall 2025

John Aloimonos

27 reviews
Average rating: 2.30

Summer 2025

Troi Williams

0 reviews
Average rating: N/A

Spring 2025

Jia-bin Huang

16 reviews
Average rating: 2.38

Fall 2024

John Aloimonos

27 reviews
Average rating: 2.30

Spring 2024

Jia-bin Huang

16 reviews
Average rating: 2.38

Mohammad Nayeem Teli

135 reviews
Average rating: 3.61

Past Semesters

David Jacobs

11 reviews
Average rating: 3.82

John Aloimonos

27 reviews
Average rating: 2.30

Larry Davis

2 reviews
Average rating: 3.00

Carlos Castillo

0 reviews
Average rating: N/A

Cornelia Fermuller

0 reviews
Average rating: N/A

Mohammad Nayeem Teli

135 reviews
Average rating: 3.61

Christopher Metzler

9 reviews
Average rating: 4.33

John Aloimonos

27 reviews
Average rating: 2.30

Christopher Metzler

9 reviews
Average rating: 4.33

Jia-bin Huang

16 reviews
Average rating: 2.38

John Aloimonos

27 reviews
Average rating: 2.30

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.