A short quiz on feature detection

Adrian F. Clark

  1. The first stage of the Canny edge detector involves smoothing with what?

  2. What information does the Canny edge detector find about each piece of edge?

  3. What is characteristic that the Moravec corner detector uses to identify corners?

  4. The Canny edge detector represents more or less the state of the art in detecting edges in images. Why is its output still of limited use?

  5. What is the underlying principle of the Moravec corner detector?

  6. Why does the Canny edge detector perform non-maximum suppression?

  7. Which of the following is not an underlying principle of the Canny edge detector?

  8. Which of the following transformations is not handled by SIFT?

  9. Why does the last stage of the Canny edge detector employ two thresholds?

  10. Which of the following is suitable for matching SIFT features P and Q?

  11.