Computer Vision Fundamentals

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What is the primary focus of the provided course outline?

Artificial Intelligence
Data Science
Machine Learning
Computer Vision (correct)

What is the relationship between Machine Vision and Computer Vision?

They are interchangeable terms
Machine Vision is a subset of Computer Vision (correct)
They are unrelated fields
Computer Vision is a subset of Machine Vision

What is the purpose of the 'Preprocessing' stage in Computer Vision?

To classify images into different categories
To recognize objects in images
To enhance image quality (correct)
To extract features from images

What is the primary application of 'Image Primitives' in Computer Vision?

Object Recognition (A) Signup and view all the answers

What is the purpose of 'Normalization' in Computer Vision?

To scale pixel values to a common range (B) Signup and view all the answers

What is the primary function of 'Image Descriptors' in Computer Vision?

To describe image features, such as SIFT, HOG, and LBP (D) Signup and view all the answers

Which of the following equations relates the angles α1 and β1?

α1 = γ + β1 (C) Signup and view all the answers

What is the approximate value of γ in terms of R and h?

γ ≈ h*R (C) Signup and view all the answers

What is the relation between the angles α1 and α2 in terms of γ and β1, β2?

α1 = γ + β1, α2 = γ - β2 (D) Signup and view all the answers

What is the law of refraction in terms of n1, n2, α1, and α2?

n1 α1 ≈ n2 α2 (A) Signup and view all the answers

What is the expression for the angle βi in terms of h and di?

βi ≈ h/di (C) Signup and view all the answers

What is the final equation obtained by inserting the angle relations into the law of refraction?

(n2 - n1)/R = d1/d2 (B) Signup and view all the answers

What is the outcome of mixing two colors in the color model diagram?

All colors on the straight line between the two points (A) Signup and view all the answers

What is the primary motivation behind the RGB color model?

To match the primary sensitivity of human color receptors (C) Signup and view all the answers

What is the drawback of the RGB color model?

Information about color is not separable from intensity (D) Signup and view all the answers

What is the result of normalizing the maximum intensity in the RGB color channels to 1?

The RGB color cube (D) Signup and view all the answers

What is the relationship between the wavelengths λ1, λ2, and λ3 in the RGB color model?

They are the wavelengths of the base colors for red, green, and blue (A) Signup and view all the answers

What is the purpose of the CMY[K] color model?

To mix color pigments for printing (C) Signup and view all the answers

What is the main principle of subtractive color mixing?

Reflecting certain wavelengths of light and absorbing others (A) Signup and view all the answers

What is the purpose of the K in CMYK model?

To produce a more acceptable black for typesetting text (C) Signup and view all the answers

What is the result of mixing cyan and magenta pigments in the CMY model?

Red (A) Signup and view all the answers

What is the main difference between additive and subtractive color mixing?

Additive mixing uses light, while subtractive mixing uses pigments (D) Signup and view all the answers

What is the definition of primary colors in the CMY model?

Colors that cannot be produced by mixing other colors (D) Signup and view all the answers

What is the formula for mixing cyan and magenta pigments in the CMY model?

C + M = W - R - G (C) Signup and view all the answers

What is the result of applying a linear filter w of size m × n to an image f of N × M pixels?

g (x, y) = w (s, t)f (x + s, y + t) (A) Signup and view all the answers

What is the relationship between the cross-correlation and convolution operations?

Cross-correlation is equivalent to convolution, but without mirroring. (A) Signup and view all the answers

What is the purpose of mirroring the signal or mask in the convolution operation?

To avoid undesired effects on image content. (C) Signup and view all the answers

What is the weights formula for an m × n window in image averaging?

w (s, t) = mn (A) Signup and view all the answers

What is the result of image averaging using a linear filter?

A smoothed image. (D) Signup and view all the answers

What is the coefficient w (0, 0) of the linear filter?

A coefficient that coincides with f (x, y). (D) Signup and view all the answers