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Computer Vision · Lesson 107 of 111

Quiz: Classic Vision

Test what you remember.

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Let's test your memory. Ten questions on image basics and classic tools. Pause for each one, and commit to an answer.

Quiz: Classic Vision
From the video: Quiz: Classic Vision
  • Ten questions
  • Commit before the answer
  • Keep score

Question 1

Question 1. How many numbers describe one pixel of a colour image? A, One. B, Three. C, Eight. D, Two hundred and fifty five. Pause the video and choose. The answer is B. Red, green, and blue.

Quick check
How many numbers describe one pixel of a colour image?

Question 2

Question 2. Why use HSV instead of RGB for colour rules? A, It separates colour from brightness. B, It uses less memory. C, It is sharper. D, It removes noise. Pause the video and choose. The answer is A. Hue stays stable when the lighting changes.

Quick check
Why use HSV instead of RGB for colour rules?

Question 3

Question 3. What does a convolution do? A, Slides a small window and combines pixels. B, Deletes colour. C, Compresses files. D, Rotates images. Pause the video and choose. The answer is A. It's the basic operation of all vision.

Quick check
What does a convolution do?

Question 4

Question 4. Which blur is best for salt and pepper specks? A, Box. B, Gaussian. C, Median. D, None. Pause the video and choose. The answer is C. The median ignores extreme values.

Quick check
Which blur is best for salt and pepper specks?

Question 5

Question 5. What does Otsu's method choose? A, A blur size. B, A threshold. C, A kernel. D, A colour space. Pause the video and choose. The answer is B. It finds the valley between two hills in the histogram.

Quick check
What does Otsu's method choose?

Question 6

Question 6. Which operation removes small white specks? A, Dilation. B, Opening. C, Closing. D, Rotation. Pause the video and choose. The answer is B. Opening erodes, then dilates.

Quick check
Which operation removes small white specks?

Question 7

Question 7. What makes a good keypoint? A, A flat wall. B, A corner. C, A blurry area. D, An edge along a line. Pause the video and choose. The answer is B. Corners are unique in both directions.

Quick check
What makes a good keypoint?

Question 8

Question 8. What does RANSAC handle? A, Bad matches. B, Colour noise. C, Compression. D, Blur. Pause the video and choose. The answer is A. Wrong matches get outvoted.

Quick check
What does RANSAC handle?

Question 9

Question 9. What does a larger disparity mean? A, Further away. B, Closer. C, Brighter. D, Larger object. Pause the video and choose. The answer is B. Near objects shift more between two views.

Quick check
What does a larger disparity mean?

Question 10

Question 10. Why do real photos need camera calibration? A, To find focal length and distortion. B, To add colour. C, To compress them. D, To train YOLO. Pause the video and choose. The answer is A. It lets you measure the real world.

Quick check
Why do real photos need camera calibration?

Summary

Eight or more is excellent. Now the harder round, on deep vision.

Key takeaways
  • 8 or more: excellent
  • Review what you missed
  • Now the harder round
Next up: Quiz: Deep Vision — detection and beyond