CMSC426

Computer Vision

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.

Spring 2026

Jia-bin Huang

16 reviews
Average rating: 2.38

Fall 2025

John Aloimonos

27 reviews
Average rating: 1.89

Summer 2025

Troi Williams

0 reviews
Average rating: N/A

Spring 2025

Jia-bin Huang

16 reviews
Average rating: 2.38

Past Semesters

John Aloimonos

27 reviews
Average rating: 1.89

Mohammad Nayeem Teli

7 reviews
Average rating: 2.14

Jia-bin Huang

16 reviews
Average rating: 2.38

John Aloimonos

27 reviews
Average rating: 1.89

Christopher Metzler

9 reviews
Average rating: 4.33

Jia-bin Huang

16 reviews
Average rating: 2.38

John Aloimonos

27 reviews
Average rating: 1.89

Mohammad Nayeem Teli

7 reviews
Average rating: 2.14

Christopher Metzler

9 reviews
Average rating: 4.33

John Aloimonos

27 reviews
Average rating: 1.89

Carlos Castillo

0 reviews
Average rating: N/A

Larry Davis

0 reviews
Average rating: N/A

Cornelia Fermuller

0 reviews
Average rating: N/A

David Jacobs

1 review
Average rating: 5.00

Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.29 between 1,905 students*

A-: 15.12%

A: 29.4%

A+: 16.48%

B-: 5.72%

B: 6.72%

B+: 10.66%

C-: 1.42%

C: 3.52%

C+: 2.57%

D-: 0.21%

D: 0.47%

F: 1.21%

W: 5.56%

other: 0.94%

* "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.