A short quiz on feature detection

Adrian F. Clark

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

  2. 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?

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

  4. Which of the following schemes is unsuitable for matching corners in images?

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

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

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

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

  9. Which of the following schemes is unsuitable for matching arbitrary features in images?

  10. Why does the last stage of the Canny edge detector perform hysteresis thresholding?

  11.