Term 2, Winter Session 2019-2020
This course was an introduction to the processing and interpretation of images. We learned about developments in image sensing, sampling, and filtering and were able to implement some techniques ourselves. We progressed from programmatic image manipulation to using machine learning for image recognition.
Weekly individual assignments were in Python and covered a range of topics: image processing, interpretation, sampling, filtering, stereo imaging, panorama image creation, motion interpretation, and texture synthesis.