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Face Recognition Quiz

Haar Cascade


  1. Haar cascade is an algorithm that used to identify object in an image or video. What is the limitation of this algorithm?
    • [ ] It won't be able to recognize partially covered faces
    • [ ] Its complexity in computation
    • [ ] It requires dozens of experiments.

  1. Which one the statement below is TRUE about adaptive boosting?
    • [ ] The main idea of adaptive boosting is used to boost the classification performance of a simple or weak classifier to minimize the error rate.
    • [ ] The main idea of adaptive boosting is used to boost the classification performance of a simple or weak classifier to maximize the error rate.
    • [ ] The main idea of adaptive boosting is used to boost the classification performance from strong classifier to minimize the error rate

  1. What does the Haar algorithm do in Integral images process?
    • [ ] It converts input image into integral image and then define the features by adding the sum of pixels under a bright rectangle and the sum of pixels under the dark rectangle
    • [ ] It converts input image into integral image and then define the features by substract the sum of pixels under a bright rectangle from the sum of pixels under the dark rectangle
    • [ ] It substracts the sum of pixels under a bright rectangle from the sum of pixels under the dark rectangle in the inputed image

Local Binary Pattern Histogram (LBPH)

  1. When performing face recognition, algorithm will return confidence measurement value. what does actually the confidence is?
    • [ ] The distance between the center point pixel and the neighboring pixel
    • [ ] The distance between each features in training data
    • [ ] The distance between histogram training data and histrogram test data
    • [ ] There is no right answer

  1. Based on matrix "kuis.JPG" image, find the binary value and then convert into decimal value to calculate new central value. What is the result?
    • [ ] 189
    • [ ] 179
    • [ ] 169
    • [ ] 168

  1. By rescaling the input image, we can resize a larger face into the smaller one and making it detectable by the algorithm. Say I want to resize my image by 6%, what does the correct parameter for the code?
    • [ ] detectMultiScale(gray_img,scaleFactor=0.06,minNeighbors=0.06)
    • [ ] detectMultiScale(gray_img,scaleFactor=2.06,minNeighbors=1.06)
    • [ ] detectMultiScale(gray_img,scaleFactor=0.06,minNeighbors=5)
    • [ ] detectMultiScale(gray_img,scaleFactor=1.06,minNeighbors=5)

Quiz
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  • Quiz 1

  • Haar cascade is an algorithm that used to identify object in an image or video. What is the limitation of this algorithm?
  • Question worth 1 point

  • Quiz 2

  • Which one the statement below is TRUE about adaptive boosting?
  • Question worth 1 point

  • Quiz 3

  • What does the Haar algorithm do in Integral images process?
  • Question worth 1 point

  • Quiz 4

  • When performing face recognition, algorithm will return confidence measurement value. what does actually the confidence is?
  • Question worth 1 point

  • Quiz 5

  • Based on matrix "kuis.JPG" image, find the binary value and then convert into decimal value to calculate new central value. What is the result?
  • Question worth 1 point

  • Quiz 6

  • By rescaling the input image, we can resize a larger face into the smaller one and making it detectable by the algorithm. Say I want to resize my image by 6%, what does the correct parameter for the code?
  • Question worth 1 point

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