Computer Vision Basics complete course is currently being offered by University at Buffalo & The State University of New York through Coursera platform.

About this Course

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks. 

Also Check: How to Apply for Coursera Financial Aid

Coursera Child Nutrition and Cooking Quiz Answers!

Coursera Computer Vision Basics Week 1 Quiz Answers

Quiz 1: What is Computer Vision? Quiz Answers

Q1. Computer vision includes which of the following?

  • All are correct
  • Automatic extraction of features from images
  • Analysis of images
  • Understanding useful information
  • None are correct

Quiz 2: Related Fields of Computer Vision Quiz Answers

Q1. The image acquisition devices of computer vision systems capture visual information as digital signals?

  • True
  • False

Quiz 03: MATLAB Basics Quiz Answers

Also Check: Cloud Computing Basics Cloud 101 Coursera Module 6 Quiz Answers!

Q3. Correct Syntax to read image in MATLAB in the current folder

  • var_image = imread(‘my_image.jpg’)
  • var_image = imread(‘my_image’)

Q4. Select the correct option to crop the top-left 50×50 section from the image read below.

var_image = imread(‘my_image.jpg’)

  • cropped_section = var_image(0:50,0:50)
  • cropped_section = var_image(1:50,1:50)
  • cropped_section = var_image[0:50,0:50]
  • cropped_section = var_image[1:50,1:50]

Q5. What is initial data type of the image you read through imread function of MATLAB?

  • int8
  • double
  • uint8

Q6. I1 = imread(‘my_image.jpg’)

I2 = im2double(I1)

  • Scales the image intensity values from 0 to 1
  • Converts the image from uint8 to double format
  • The array dimensions remain same

Q7. Select the options which assign the height and width of an image correctly in MATLAB.

var_image = imread(‘my_image.jpg’)

  • [height,width] = size(var_image ); (Ans)
  • [width,height] = size(var_image );
  • image_dimension = size(var_image );

width = image_dimension(1)

height = image_dimension(2)

  • image_dimension = size(var_image ); (Ans)

height = image_dimension(1)

width = image_dimension(2)

Computer Vision Basics Week 2 Coursera Quiz Answers!

Quiz 1: Light Sources Quiz Answers

Q1. Which of the following are area sources?

  • Sun at infinity
  • Bulb
  • Diffuser boxes
  • All of these
  • White walls

Q2. Does distance of the light source affect the color of a pixel?

  • No
  • Yes

Quiz 2: Pinhole Camera Model Quiz Answers

Q10. Does distance of the light source affect the color of a pixel?

  • No
  • Yes

Quiz 3: Digital Camera Quiz Answers

Q1. Match column A with correct options in a column in B.

  • 1-c, 2-a, 3-d, 4-b

Computer Vision Basics - Week 3 Coursera Quiz Answers!

Quiz 1: Three-Level Paradigm

  • 1-c, 2-a, 3-b
  • 1-a, 2-b, 3-c
  • 1-b, 2-c, 3-a
  • 1-a, 2-c, 3-b

Quiz 2: Low-Level Vision

Q1. Low-level vision consists of:

1) feature detection and matching

2) early segmentation

  • 1
  • 1 and 2
  • 2
  • None

Computer Vision Basics Coursera Week 4 Quiz Answers! 

Quiz 1: Algorithms Quiz Answers

Q1. Match the Algorithms in column A with correct techniques in column B.

Computer Vision Basics Coursera Quiz Answers!

  • 1-b, 2-d, 3-c, 4-a

Post a Comment

Previous Post Next Post