9.77 Computational Perception
Begins with a review of the experimental paradigms, findings and theories used to evaluate the capabilities and limits of human visual perception. Assesses how knowledge of human perception may be used to guide machine vision systems. Second part of the subject focuses on models in computational perception. Describes how computer vision systems can perform image analysis and synthesis; face, object and scene perception; texture synthesis, segmentation, and navigation. Introduces various simulation methods. A MATLAB-based project in computational perception is required. Limited to 8.
9.77 will be offered this semester (Spring 2017). It is instructed by E. Adelson.
This class counts for a total of 12 credits.
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