Course Description
Introduction to the processing and interpretation of images. Image sensing, sampling, and filtering. Algorithms for colour analysis, texture description, stereo imaging, motion interpretation, 3D shape recovery, and recognition.
Average difficulty
Average quality
Not worth the credit, it’s physics and old algorithm topics like panorama stiching - (no cool 3D generative/image generative model)
| Difficulty: | 1 | |
| Quality: | 1 |
interesting content that wasn’t as in depth as I expected but also a reasonable workload
| Difficulty: | 3 | |
| Quality: | 4 |
If you are into Vision and Neural Networks then sure otherwise no point taking it imo.