Fundamentals of Visual Computing

3 credits

Computational and mathematical methods for data driven processing and model-based analysis of digital images and other visual data: perception, capture; representation, modelling; enhancement, restoration; registration, fusion; feature extraction, segmentation; recognition; practical applications. This course is not eligible for Credit/D/Fail grading.