Features in Computer Vision - Lecture 14

Features in Computer Vision - Lecture 14

UCF CRCV via YouTube Direct link

Outline

1 of 16

1 of 16

Outline

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Classroom Contents

Features in Computer Vision - Lecture 14

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  1. 1 Outline
  2. 2 What is a Feature?
  3. 3 Types of Features
  4. 4 Uses of Features: Matching
  5. 5 Uses of Features: structure from motion
  6. 6 Uses of Features: panorama stitching . Given two images . How do we overlay them?
  7. 7 Finding Features in Videos
  8. 8 Characteristics of good features Distinctiveness Each feature can be uniquely identified
  9. 9 Compactness and Efficiency
  10. 10 Choosing interest points
  11. 11 What is an interest point?
  12. 12 Properties of Interest Points
  13. 13 Possible approaches: corner detection
  14. 14 Goals for KeyPoints
  15. 15 Application: Key Point Matching
  16. 16 Application: KeyPoint Matching

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