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Seminar in Vision, Brain & Assistive Technologies

 
 

Seminar in Vision, Brain & Assistive Technologies

Instructor: Professor Zhigang Zhu

Course Description

The seminar will discuss modern vision science and explore how the brain sees the world, thus including introductory on computational neuroscience, motion, color and several other topics. Then we will discuss the needs and state-of-art in sensing, processing and stimulation for assisting visually challenged people (blind and visually impaired people) using advanced technologies in machine vision, robotics, displays, materials, portable devices and infrastructure.
 

Course Objectives

Through the course, the students should be able to:

  • Demonstrate basic knowledge of human brain and vision, and visual impairment

  • Identify need of visually impaired people and related assistive technologies

  • Apply machine vision algorithms/techniques and assistive technologies to assisting visually impaired
     

Course Organization

The instructor intends to offer the course as an interdisciplinary seminar course, in which a few lectures will be provided from the recommended textbook and then students from mathematics, physics, electrical engineering, computer science and psychology and other social sciences will be assigned to read, present and discuss materials in vision, brain, computing and devices for assisting the visually impaired. The major reading materials will include the papers and talks from the references below. Finally students will team up to do course projects.  Rough grading policy:  an in-class exam of the basics (20%), student reading reports and presentations (40%), and project reports and presentations (40%).
 

Readings & References

  • Recommended Textbook on Human Vision and Brain: 

    • Vision and Brain - How We Perceive the World, By James V. Stone, The MIT Press. Paperback | $30.00 Short | �20.95 | ISBN: 9780262517737 | 264 pp. | 6 x 9 in | 25 color illus., 132 b&w illus.| September 2012 (For students with little experience in vision and neuroscience to know human vision, brain and computational neuroscience)