TTh 10:10am–11:25am · TTh 11:40am–12:55pm
2 distinct times across 2 sections.
1 of 2 sections have room
Prerequisites Prerequisites: Fundamentals of calculus, linear algebra, and C programming. Students without any of these prerequisites are advised to contact the instructor prior to taking the course.
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)
Sections2
- Full
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 46 of 80 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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