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Epipolar Geometry 16-385 Computer Vision (Kris Kitani) Carnegie Mellon University Tie tiny threads on HERB and pin them to your eyeball What would it look like? You see points on HERB What does the second observer see? You see points on HERB


  1. Epipolar Geometry 16-385 Computer Vision (Kris Kitani) Carnegie Mellon University

  2. Tie tiny threads on HERB and pin them to your eyeball What would it look like?

  3. You see points on HERB What does the second observer see?

  4. You see points on HERB Second person sees lines

  5. This is Epipolar Geometry

  6. Epipole Epipolar lines

  7. Epipolar geometry p o 0 o Image plane

  8. Epipolar geometry p o 0 o Baseline Image plane

  9. Epipolar geometry p o 0 o e 0 e Baseline Image plane Epipole (projection of o’ on the image plane)

  10. Epipolar geometry p Epipolar plane o 0 o e 0 e Baseline Baseline Image plane Epipole (projection of o’ on the image plane)

  11. Epipolar geometry Epipolar line p (intersection of Epipolar plane and image plane) Epipolar plane l 0 l o 0 o e 0 e Baseline Image plane Epipole (projection of o’ on the image plane)

  12. Quiz p What is this? l 0 l o 0 o e 0 e

  13. Quiz p Epipolar plane l 0 l o 0 o e 0 e

  14. Quiz What is this? p Epipolar plane l 0 l o 0 o e 0 e

  15. Quiz Epipolar line p (intersection of Epipolar plane and image plane) Epipolar plane l 0 l o 0 o e 0 e

  16. Quiz Epipolar line p (intersection of Epipolar plane and image plane) Epipolar plane l 0 l o 0 o e 0 e What is this?

  17. Quiz Epipolar line p (intersection of Epipolar plane and image plane) Epipolar plane l 0 l o 0 o e 0 e Epipole (projection of o’ on the image plane)

  18. Quiz Epipolar line p (intersection of Epipolar plane and image plane) Epipolar plane l 0 l o 0 o e 0 e What is this? Epipole (projection of o’ on the image plane)

  19. Quiz Epipolar line p (intersection of Epipolar plane and image plane) Epipolar plane l 0 l o 0 o e 0 e Baseline Epipole (projection of o’ on the image plane)

  20. Epipolar constraint p l 0 x x 0 l o 0 o e 0 e l 0 Potential matches for lie on the epipolar line x

  21. Epipolar constraint p l 0 x x 0 l o 0 o e 0 e l 0 Potential matches for lie on the epipolar line x

  22. Epipolar constraint p l 0 x x 0 l o 0 o e 0 e l 0 Potential matches for lie on the epipolar line x

  23. p l 0 x x 0 l o 0 o e 0 e The point x (left image) maps to a ___________ in the right image The baseline connects the ___________ and ____________ An epipolar line (left image) maps to a __________ in the right image An epipole e is a projection of the ______________ on the image plane All epipolar lines in an image intersect at the ______________

  24. Converging cameras Where is the epipole in this image?

  25. Converging cameras here! It’s not always in the image Where is the epipole in this image?

  26. Parallel cameras Where is the epipole?

  27. Parallel cameras epipole at infinity

  28. Forward moving camera

  29. Forward moving camera

  30. Where is the epipole? What do the epipolar lines look like?

  31. Epipole has same coordinates in both images. Points move along lines radiating from “Focus of expansion” e 0 e

  32. The epipolar constraint is an important concept for stereo vision Task: Match point in left image to point in right image Left image Right image How would you do it?

  33. The epipolar constraint is an important concept for stereo vision Task: Match point in left image to point in right image Left image Right image Want to avoid search over entire image (if the images have been rectified) Epipolar constrain reduces search to a single line

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