1. 1 Finding depth

2. 2 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

3. 3 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

4. 4 Depth from stereo P1P1 P2P2 two cameras with known parameters infer 3D location of point seen in both images sub problem: correspondences for a point seen in the left image, find its projection in the right image

5. 5 Depth from stereo: déjà-vu math P1P1 P2P2 unknowns are w 1 and w 2 overconstrained system the u 2 v 2 coordinates of a point seen at u 1 v 1 are constrained to an epipolar line

6. 6 Epipolar line P1P1 P2P2 C 1, C 2, P 1 define a plane P 2 will be on that plane P 2 is also on the image plane 2 So P 2 will be on the line defined by the two planes’ intersection

7. 7 Search for correspondences on epipolar line P1P1 P2P2 Reduces the dimensionality of the search space Walk on epipolar segment rather than search in entire image

8. 8 Parallel views Preferred stereo configuration epipolar lines are horizontal, easy to search

9. 9 Parallel views Limit search to epipolar segment from u 2 = u 1 (P is infinitely far away) to 0 (P is close)

10. 10 Depth precision analysis 1/z linear with disparity (u 1 – u 2 ) better depth resolution for nearby objects important to determine correspondences with subpixel accuracy

11. 11 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

12. 12 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

13. 13 Depth from stereo problem Correspondences are difficult to find Structured light approach –replace one camera with projector –project easily detectable patterns –establishing correspondences becomes a lot easier

14. 14 Depth from structured light P1P1 P2P2 C 1 is a projector Projects a pattern centered at u 1 v 1 Pattern center hits object scene at P Camera C 2 sees pattern at u 2 v 2, easy to find 3D location of P is determined

16. 16

17. 17 Depth from structured light challenges Associated with using projectors –expensive, cannot be used outdoors, not portable Difficult to identify pattern –I found a corner, which corner is it? Invasive, change the color of the scene –one could use invisible light, IR

18. 18 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

19. 19 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

20. 20 Depth of field aperture object image CF F’ Thin lenses rays through lens center (C) do not change direction rays parallel to optical axis go through focal point (F’)

21. 21 Depth of field aperture object image plane CF F’ For a given focal length, only objects that are at a certain depth are in focus

22. 22 Out of focus aperture object image plane CF F’ When object at different depth One point projects to several locations in the image Out of focus, blurred image

23. 23 Focusing aperture object image plane CF F’ Move lens to focus for new depth Relationship between focus and depth can be exploited to extract depth

24. 24 Determine z for points in focus aperture object image plane CF F’ hihi h af z

25. 25 Depth from defocus Take images of a scene with various camera parameters Measuring defocus variation, infer range to objects Does not need to find the best focusing planes for the various objects Examples by Shree Nayar, Columbia U

26. 26 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

27. 27 Overview Depth from stereo Depth from structured light Depth from focus / defocus Laser rangefinders

28. 28 Laser range finders Send a laser beam to measure the distance –like RADAR, measures time of flight

29. 29 DeltaSphere - depth&color acquisition device Lars Nyland et al. courtesy 3 rd Tech Inc.

30. 30 300 o x 300 o panorama this is the reflected light

31. 31 300 o x 300 o panorama this is the range light

32. 32 courtesy 3 rd Tech Inc. spherical range panoramas planar re-projection

33. 33 courtesy 3 rd Tech Inc. Jeep – one scan

34. 34 courtesy 3 rd Tech Inc. Jeep – one scan

35. 35 courtesy 3 rd Tech Inc. Complete Jeep model

36. 36