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Questions for Ch 2.2, 2.3.1, 2.3.2 of textbook.
1. How does the study of computer vision aid the development of theories of biological vision systems?
2. What can we learn from single cell recordings? What are the limitations of single cell recordings?
3. Briefly describe each of the three levels of information processing outlined by David Marr.
Questions for Ch. 2.2 of "Vision," by David Marr ("Representing the Image")
4. What is the Laplacian operator?
5. Why is the Laplacian operator more useful for edge detection than first or second order derivatives by themselves?
6. What is a DOG, and how does it relate to the Laplacian of a Gaussian function?
7. How can you use the DOGs (or Laplacians of Gaussians) to detect an edge (or zero crossing)? How does this relate to possible physiological mechanisms for detecting edges?
Answer questions 3 and 7 in writing.
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Constance Royden--croyden@holycross.edu
Computer Science 363--Computational Vision
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