Understanding vision: theory, models, and data
a textbook published by Oxford University Press 2014
Free courses for "Understanding vision: theory, models, and data"
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A very brief introduction to simple mathematical methods for computational vision
CourseThis course covers some simple mathematical methods to help students learn computational vision in the rest of the textbook more easily, or to learn computational neuroscience in general.
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A very brief introduction of what is known about vision experimentally
Coursecontent of a university course on "Introduction to vision science" by 2.5 hours of video, made easy to learn. No prior knowledge on vision science, psychology, or neuroscience necessary. Useful as background for learning computational vision.
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The efficient coding principle
CourseTo understand by first principles the brain's first stages of visual signal processing as manifested neurally and psychologically, based largely on chapter 3 of the textbook "Understanding vision: theory, models, and data"
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Visual attention and V1 Saliency Hypothesis
CourseAn introduction to visual attention and visual saliency from experimental data to computational theory.
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Visual decoding or recognition
CourseA system level course on visual recognition from introduction to current research questions.