Probability, random variables, and stochastic processes

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…e talking about. 3. Anything that involves sensors also involves noise. At my school, the first stage of the graduate CV track is a course based on [Papoulis & Pillai]'s Probability, Random Variables, and Stochastic Processes . 4. One of my classmates was involved in object modeling with manifolds. A manifold is basically an n-dimensional shape that follows mostly-Euclidean rules like a sphere, torus, or pretzel. I have no idea what to recommend here, because my curiosity about manifolds and repeated frustration in my efforts to find out more about them ultimately landed me in grad school. Watch out for that. 5. Obviously I know more about software than hardware, but you could definitely do worse than reading up on commonly-used sensors. A midlevel text on CCD cameras would be the way to go here. 6. You can read up on Visual Perception in…