Stony Brook University 3 credits ESE
Covers fundamental principles, algorithms, and computational techniques, in Computer and Robot Vision. Topics include image formation and sensing in digital cameras and eyes, geometric transformation of 2D and 3D scenes and images, image filtering; feature detection, descriptors, and matching; model fitting techniques, machine learning principles, linear classifiers, Neural Networks, Convolution Neural Networks, Transformers, 3D shape and motion recovery using Stereo Vision and video processing, medical image analysis. 3 credits Grading Letter graded (A, A-, B+, etc.)
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