CSC 487/2503, Computational Vision
Course Outline (Fall 2003)
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Image Formation
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Reflection models for light
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Image formation and lens models
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Image Measurement
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Intro to image processing for machine vision
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Eg. Edgel estimation; motion/stereo constraints.
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Robust Estimation of Image Features
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Reweighted Least Squares
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Robust M-estimation techniques.
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Eg. Image lines; image motion/tracking.
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Parameter estimation using probabilistic mixture models.
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View-Based Models
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Learning view-based representations.
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View-based object recognition/tracking.
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Shape from X
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Horizons and Homographies.
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Estimation of 3D shape from image motion.
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Object Recognition
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Model-based object recognition
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Computational Perceivers
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Perceivers: Representation, Consistency, Plausibility, and Search.