9.77 Computational Perception

Class Info

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.

This class has 9.00, 9.40, 9.35, and 9.65 as prerequisites.

9.77 will be offered this semester (Spring 2017). It is instructed by E. Adelson.

This class counts for a total of 12 credits.

You can find more information at the 9.77 Class Site site or on the 9.77 Stellar site.

MIT 9.77 Computational Perception Related Textbooks
MIT 9.77 Computational Perception On The Web

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