Computer Vision Features - Part 2 - Lecture 9

Computer Vision Features - Part 2 - Lecture 9

UCF CRCV via YouTube Direct link

SIFT Orientation Normalization

12 of 15

12 of 15

SIFT Orientation Normalization

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Classroom Contents

Computer Vision Features - Part 2 - Lecture 9

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  1. 1 Intro
  2. 2 Corner Detection by Auto-correlation
  3. 3 Corner Detection: Mathematics The quadratic approximation simplifies to
  4. 4 Histogram of Oriented Gradients
  5. 5 Scale Invariant Feature Transform (SIFT)
  6. 6 Overall Procedure at a High Level
  7. 7 Automatic Scale Selection . Function responses for increasing scale (scale signature)
  8. 8 What Is A Useful Signature Function f?
  9. 9 Alternative kernel
  10. 10 Find local maxima in position-scale space of Dog
  11. 11 SIFT Orientation estimation
  12. 12 SIFT Orientation Normalization
  13. 13 SIFT descriptor formation
  14. 14 SIFT Descriptor Extraction
  15. 15 Review: Local Descriptors

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