CMPSC 181: INTRO COMP VISION
University of California, Santa Barbara
Overview of computer vision problems and techniques for analyzing the content of images and video. Topics include image formation, edge detection, image segmentation, pattern recognition, texture analysis, optical flow, stereo vision, shape representation and recovery techniques, issues in object recognition, and case studies of practical vision systems.
Average GPA: 3.38
Grade distribution records: 555 students across 11 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 26 | 4.7% |
| A | 167 | 30.1% |
| A- | 104 | 18.7% |
| B+ | 91 | 16.4% |
| B | 76 | 13.7% |
| B- | 36 | 6.5% |
| C+ | 16 | 2.9% |
| C | 15 | 2.7% |
| C- | 13 | 2.3% |
| D+ | 3 | 0.5% |
| D | 2 | 0.4% |
| F | 6 | 1.1% |
Based on 555 student grade records across 11 terms and 3 professors.
Instructors
- Beyeler M 351 students, Average GPA 3.50
- Manjunath B S 118 students, Average GPA 3.41
- Wang Y F 86 students, Average GPA 2.86