This course is a broad introduction to computer vision. Topics include camera models, multi-view geometry, reconstruction, some low-level image processing, and high-level vision tasks like image classification and object detection.
Here is a rough outline of topics and the number of lectures spent on each:
Image formation / projective geometry / lighting (3 lectures)
Practical linear algebra (1 lecture)
Image processing / descriptors (3 lectures)
Image warping (2 lectures)
Linear model
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