Motion Models in Computer Vision - Lecture 8

Motion Models in Computer Vision - Lecture 8

UCF CRCV via YouTube Direct link

Determining Projective transformation using point correspondences

10 of 13

10 of 13

Determining Projective transformation using point correspondences

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Classroom Contents

Motion Models in Computer Vision - Lecture 8

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  1. 1 Optical Flow
  2. 2 Contents
  3. 3 Rotation (continued)
  4. 4 Euler Angles
  5. 5 Image Formation: Orthographic Projection
  6. 6 Orthographic Projection (contd.)
  7. 7 Plane+Perspective projective
  8. 8 Plane+perspective (contd.)
  9. 9 Least Squares Fit
  10. 10 Determining Projective transformation using point correspondences
  11. 11 Summary of Displacement Models
  12. 12 Displacement Models (contd)
  13. 13 3-D Rigid Motion

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