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Computer Vision: Understanding Images & Mimicking Human Vision

Explore the basics of computer vision and how it mimics human vision, including challenges, applications like robotics, automation, and human-computer communication. Learn about edge detection techniques and visual processing. Dive into the complexities of the retina and visual understanding processes. Includes references, code snippets, and insights into the fallibility of human vision.

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Computer Vision: Understanding Images & Mimicking Human Vision

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  1. Seeing is Believing April 27th, 1999 CS251: Intro to AI/Lisp II

  2. Announcements • Today’s homework • More course project conferences • Course project, step 2 • What’s an A? • References: At least 12, comments on some • Code: Description of system plus 100 lines of code • What’s a C? • References: Just 6, no comments • Code: 50 lines, no explanation CS251: Intro to AI/Lisp II

  3. Vision • Why is it hard? • 3D world on a flat surface • One flat surface many 3D worlds • Like 3 equations in 397 unknowns • What is computer vision? • Understanding images • Image processing/pattern recognition CS251: Intro to AI/Lisp II

  4. What can you do with computer vision? • Robots (Passive vs. active sensing) • Automation (Working on the line) • Inspection • Remote sensing • Human-computer communication • Visual assistants CS251: Intro to AI/Lisp II

  5. Mimicking Human Vision • Fallibility of human vision • Why is it fallible? http://insight.med.utah.edu/Webvision/index.html CS251: Intro to AI/Lisp II

  6. Human Vision • Foveated • Greatest acuity in the fovea • Small (fraction of a mm) • Only has cones • Photoreceptors • Rods: Low light vision • Cones: Three flavors • Number of rods/cones: 125,000,000 • Optic nerve fibers: 1,000,000 CS251: Intro to AI/Lisp II

  7. CS251: Intro to AI/Lisp II

  8. Move that eye CS251: Intro to AI/Lisp II

  9. Into the Eye... CS251: Intro to AI/Lisp II

  10. Ocular Cross-Section CS251: Intro to AI/Lisp II

  11. Through the Opthalmascope CS251: Intro to AI/Lisp II

  12. A Simple View of the Retina CS251: Intro to AI/Lisp II

  13. Will the Real Retina Please Stand Up? CS251: Intro to AI/Lisp II

  14. Things Get Fuzzy After This... • How do the images on the retina become part of our visual understanding? CS251: Intro to AI/Lisp II

  15. What’s the plan? • Build on a set of primitives • Edges • Lines • Segments • Regions • Depth • Objects • Construct a representation of a 3D scene CS251: Intro to AI/Lisp II

  16. CS251: Intro to AI/Lisp II

  17. Threshold CS251: Intro to AI/Lisp II

  18. CS251: Intro to AI/Lisp II

  19. Another Edge Finder CS251: Intro to AI/Lisp II

  20. Histogram CS251: Intro to AI/Lisp II

  21. Edge Detection • What’s an edge? • Many kinds of edges • Smoothing to aid edge detection CS251: Intro to AI/Lisp II

  22. Wagon Wheel (From UBC) CS251: Intro to AI/Lisp II

  23. CS251: Intro to AI/Lisp II

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