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Module 2 — Geometry & correspondence

Module 2 quiz & review

20 interactive multiple-choice questions covering projection, features, RANSAC, and stereo with lesson review links.

~45 min read + exercises

Module 2 quiz and review

Before we begin

Aim for at least 16 out of 20 before the panorama project.


Multiple choice quiz

Interactive quiz

Pick one answer per question. Feedback appears immediately — take your time before clicking.

0 / 20 correct·0 answered
  1. Question 1 of 20

    In the pinhole camera model, homogeneous coordinates allow us to:

    Answer options for question 1
  2. Question 2 of 20

    Camera intrinsic matrix K encodes:

    Answer options for question 2
  3. Question 3 of 20

    Harris corner detector looks for points where:

    Answer options for question 3
  4. Question 4 of 20

    Lowe's ratio test when matching SIFT descriptors rejects matches when:

    Answer options for question 4
  5. Question 5 of 20

    RANSAC is used in geometric vision primarily to:

    Answer options for question 5
  6. Question 6 of 20

    Radial lens distortion causes straight lines in the scene to:

    Answer options for question 6
  7. Question 7 of 20

    In rectified stereo, corresponding points lie:

    Answer options for question 7
  8. Question 8 of 20

    Depth Z from disparity d (baseline B, focal length f) scales as:

    Answer options for question 8
  9. Question 9 of 20

    A homography H maps points between two views when:

    Answer options for question 9
  10. Question 10 of 20

    ORB descriptors are popular in real-time pipelines because:

    Answer options for question 10
  11. Question 11 of 20

    Zhang's calibration method uses multiple views of a checkerboard to:

    Answer options for question 11
  12. Question 12 of 20

    Textureless regions are hard for stereo matching because:

    Answer options for question 12
  13. Question 13 of 20

    The essential matrix E relates corresponding points in:

    Answer options for question 13
  14. Question 14 of 20

    Scale-invariant feature detectors address the problem that:

    Answer options for question 14
  15. Question 15 of 20

    Wider stereo baseline generally:

    Answer options for question 15
  16. Question 16 of 20

    The principal point in K is:

    Answer options for question 16
  17. Question 17 of 20

    Increasing RANSAC iterations is needed when:

    Answer options for question 17
  18. Question 18 of 20

    Epipolar geometry constrains matching so that:

    Answer options for question 18
  19. Question 19 of 20

    Subpixel disparity refinement improves depth maps by:

    Answer options for question 19
  20. Question 20 of 20

    Reprojection error in calibration measures:

    Answer options for question 20

What's next

Project: panorama stitching