Computer Vision I: First Principles
11:40am–12:55pm
Uris Hall 142
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Lect: 3. Introductory course in computer vision. Topics include image formation and optics, image sensing, binary images, image processing and filtering, edge extraction and boundary detection, region growing and segmentation, pattern classification methods, brightness and reflectance, shape from shading and photometric stereo, texture, binocular stereo, optical flow and motion, 2D and 3D object representation, object recognition, vision systems and applications
Reviews
Course experience
n=14, 2003–2023
Aggregated across everyone who has taught this course.
Teaching quality
4.6 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
3.5 / 5 · Moderate
Overall sentiment
Positive
Would take again
Majority say yes
Sources: CULPA (14)
In your week
Where it meets
Flat map — motion reduced