Introduction and image formation

Question 1

What’s the difference between image classification, object detection, and segmentation

Answer 1

Classification classifies an object. Object detection detects roughly where in the image objects are. Segmentation marks each object pixel by pixel.

Question 2

Whats diffuse and specular reflection?

Answer 2

Diffuse reflection reflects light in all direction, specular in one direction

Question 3

What 3 components do we usually use to model what we see?

Answer 3

Ambient light, specular and diffuse reflection.

Question 4

What is the thin lens equation

Answer 4

1/f = 1/u + 1/v where f is the focal length, u is the length from the lens to the object in the real world, v is the length from the lens to the image sensors.

Question 5

What is the difference between rods and cones in the eye

Answer 5

Cones detect color but need a lot of light. Rods don’t detect color but need little light.

Question 6

What are the 2 most common sensor in cameras

Answer 6

CMOS and CCD.

Question 7

What is the Bayer filter

Answer 7

a gridded color filter with twice as many green cells as red and blue

Question 8

How can we calculate the “missing” colors in each pixel in a camera using a Bayer filter

Answer 8

We can use interpolation, for example, nearest neighbor, linear or cubic.

Question 9

Name some color spaces

Answer 9

RGB, RGBA, HSV, CMYK,

Question 10

What is quantisation

Answer 10

Sampling a continues signal and representing them with discrete values.