Computer Vision Fundamentals
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Questions and Answers

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?

    <p>Object Recognition</p> Signup and view all the answers

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

    <p>To scale pixel values to a common range</p> Signup and view all the answers

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

    <p>To describe image features, such as SIFT, HOG, and LBP</p> Signup and view all the answers

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

    <p>α1 = γ + β1</p> Signup and view all the answers

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

    <p>γ ≈ h*R</p> Signup and view all the answers

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

    <p>α1 = γ + β1, α2 = γ - β2</p> Signup and view all the answers

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

    <p>n1 α1 ≈ n2 α2</p> Signup and view all the answers

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

    <p>βi ≈ h/di</p> Signup and view all the answers

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

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

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

    <p>All colors on the straight line between the two points</p> Signup and view all the answers

    What is the primary motivation behind the RGB color model?

    <p>To match the primary sensitivity of human color receptors</p> Signup and view all the answers

    What is the drawback of the RGB color model?

    <p>Information about color is not separable from intensity</p> Signup and view all the answers

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

    <p>The RGB color cube</p> Signup and view all the answers

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

    <p>They are the wavelengths of the base colors for red, green, and blue</p> Signup and view all the answers

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

    <p>To mix color pigments for printing</p> Signup and view all the answers

    What is the main principle of subtractive color mixing?

    <p>Reflecting certain wavelengths of light and absorbing others</p> Signup and view all the answers

    What is the purpose of the K in CMYK model?

    <p>To produce a more acceptable black for typesetting text</p> Signup and view all the answers

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

    <p>Red</p> Signup and view all the answers

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

    <p>Additive mixing uses light, while subtractive mixing uses pigments</p> Signup and view all the answers

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

    <p>Colors that cannot be produced by mixing other colors</p> Signup and view all the answers

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

    <p>C + M = W - R - G</p> 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?

    <p>g (x, y) = w (s, t)f (x + s, y + t)</p> Signup and view all the answers

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

    <p>Cross-correlation is equivalent to convolution, but without mirroring.</p> Signup and view all the answers

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

    <p>To avoid undesired effects on image content.</p> Signup and view all the answers

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

    <p>w (s, t) = mn</p> Signup and view all the answers

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

    <p>A smoothed image.</p> Signup and view all the answers

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

    <p>A coefficient that coincides with f (x, y).</p> Signup and view all the answers

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