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At a Glance
• Computer Vision is a part of Artificial Intelligence (AI) that focuses on helping machines understand and
interpret visual information like images and videos.
• Image processing involves manipulating and enhancing images to improve their quality or extract specific
features.
• Computer Vision is used in many fields, like healthcare, shopping, and entertainment.
• Facial recognition is a technology that uses Computer Vision to identify and verify people based on their
facial features.
• Face filters in Computer Vision are fun and interactive tools that uses algorithm to detect and track facial
features.
• Classification is the process of determining the class or category of an input image.
• Localisation means where the object is located in the image.
• Object detection is the process of identifying or detecting the instances of real-world on which the detection
model has been trained.
• Instance segmentation is the process of dividing an image into smaller segments to identify individual
objects within it, distinguishing them from the background or other objects in the image.
• An image is a visual representation of any object.
• Pixel is the smallest unit of information in a digital image.
• Resolution is basically the dimensions through which you can measure how many pixels are on a screen or
an image.
• Grayscale images are images made up of different shades of gray, ranging from black to white, but without
any colour.
• All coloured images around us are made up of 3 primary colours of Red, Green and Blue.
Exercise
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. What is the purpose of facial recognition in smart homes?
a. To increase Internet speed
b. To recognise family members for security purposes
c. To generate digital filters
d. To track weather changes
2. What is the primary goal of Computer Vision?
a. To understand and interpret visual information from the world
b. To simulate human brain activity
c. To create 3D models from images
d. To develop algorithms for natural language processing
Computer Vision (Theory) 319

