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Sunday, October 2, 2011

COMPUTER VISION PPT

COMPUTER VISION PPT

Instructor:

David Forsyth

 

slides:


  1. An Introduction to Computer Vision

  2. Cameras

  3. Radiometry

  4. Sources, Shadows and Shading

    5.

  5. Color

    6.

  6. Linear Filters and Edge Detection

  7. Pyramids and Texture

  8. Segmentation by Clustering

  9. Fitting and Segmentation

  10. Segmentation and Fitting using Probabilistic Methods

  11. Tracking using Linear Dynamic Models and the Kalman Filter

  12. Model-based Vision

  13. Recognition by Template Matching

  14. Recognition by Relations between Templates

Posted by Engineeringppt at 11:01 AM
Labels: Computer Vision

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