Computer Vision: Application Areas
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Questions and Answers

What is the main objective of Face Recognition in Computer Vision?

  • To detect and identify objects
  • To detect and identify faces (correct)
  • To synthesize images
  • To restore degraded images

    • What is Semantic Segmentation used for in Computer Vision?

  • For separating objects from an image (correct)
  • For image synthesis
  • For object recognition and identification
  • For machine reading of handwritten text

    • What is the application area of Computer Vision that involves automatic reading of machine printed and handwritten text?

  • Image Restoration
  • Machine Reading (correct)
  • Object Recognition
  • Semantic Segmentation

    • What is the primary focus of Image Processing in Computer Vision?

    <p>Restoration and Manipulation of images (A)</p> Signup and view all the answers

    What is the term for the process of finding traces of elementary particles in Computer Vision?

    <p>Monitoring/Analysis of biological/physical/chemical processes (C)</p> Signup and view all the answers

    What is the relationship between Computer Vision and Computer Graphics/Virtual Reality?

    <p>They overlap in Image Synthesis (D)</p> Signup and view all the answers

    What is the primary goal of the image preprocessing step in a machine vision system?

    <p>To improve the image quality for a specific application (A)</p> Signup and view all the answers

    Which of the following is NOT a typical step in the classical computer vision architecture?

    <p>Audio Processing (B)</p> Signup and view all the answers

    What is the purpose of the classification and interpretation step in a machine vision system?

    <p>To recognize objects in the image (C)</p> Signup and view all the answers

    What is the relation between object and image distance, size, and focal length of the lens, as defined by the thin lens equation?

    <p>1 / f = 1 / z + 1 / z0 (B)</p> Signup and view all the answers

    What is the outcome of the local feature extraction step in a machine vision system?

    <p>Keypoints and symbolic descriptions (B)</p> Signup and view all the answers

    What happens to image points when the object distance approaches infinity?

    <p>They are in focus at a distance of f. (D)</p> Signup and view all the answers

    What is the current trend in approaching preprocessing, feature extraction, and classification in machine vision systems?

    <p>Employing deep neural networks (C)</p> Signup and view all the answers

    What is the term for the range of scene points that are in acceptable focus?

    <p>Depth of focus (B)</p> Signup and view all the answers

    What is the focus of the 'Fundamentals of Machine Vision' topic in the computer vision course?

    <p>Machine vision system architecture (D)</p> Signup and view all the answers

    What is the term for the aberration that occurs when light rays from a point form a circle of confusion in the image plane?

    <p>Spherical aberration (A)</p> Signup and view all the answers

    What is the term for the aberration that occurs when the index of refraction is dependent on the wavelength of light?

    <p>Chromatic aberration (B)</p> Signup and view all the answers

    What can be used to minimize aberrations in real optical systems?

    <p>Multi-lens arrangements (B)</p> Signup and view all the answers

    What is the outcome of mixing 2 colors?

    <p>Creation of all colors lying on the straight line between the two points in the diagram (B)</p> Signup and view all the answers

    What is the difference between additive and subtractive color models?

    <p>Additive model mixes light, subtractive mixes pigments (B)</p> Signup and view all the answers

    What is the purpose of specifying 'base colors' in the RGB color model?

    <p>To specify the primary colors used in the model (A)</p> Signup and view all the answers

    What is the drawback of the RGB color model?

    <p>It does not separate color information from intensity (B)</p> Signup and view all the answers

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

    <p>Creation of the RGB color cube (C)</p> Signup and view all the answers

    What is the goal of alternative color models, such as HSI and YUV, in relation to RGB?

    <p>To separate color information from intensity (C)</p> Signup and view all the answers

    What is a characteristic of linear filters?

    <p>They are shift-invariant and satisfy the linear property. (D)</p> Signup and view all the answers

    What is the purpose of a filter mask in linear filtering?

    <p>To assign weights to each point in the neighborhood. (C)</p> Signup and view all the answers

    How is the filter response calculated in linear filtering?

    <p>By computing a weighted sum of pixel intensities and mask coefficients. (A)</p> Signup and view all the answers

    What is the advantage of using linear filters?

    <p>They are simple to implement and computationally efficient. (C)</p> Signup and view all the answers

    What is the relationship between the filter mask and the neighborhood size?

    <p>The filter mask has the same size as the neighborhood. (A)</p> Signup and view all the answers

    What is the result of moving the filter mask over the image?

    <p>The filter response is calculated at each point. (B)</p> Signup and view all the answers

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