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The Computer Vision Workshop

The Computer Vision Workshop

By : Hafsa Asad , Vishwesh Ravi Shrimali , Nikhil Singh , Richmond Alake, Tim Hoolihan, Harshil Jain, Geetank Raipuria, Shovon Sengupta, Sanchit Singh
4.3 (6)
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The Computer Vision Workshop

The Computer Vision Workshop

4.3 (6)
By: Hafsa Asad , Vishwesh Ravi Shrimali , Nikhil Singh , Richmond Alake, Tim Hoolihan, Harshil Jain, Geetank Raipuria, Shovon Sengupta, Sanchit Singh

Overview of this book

Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
Table of Contents (10 chapters)
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Summary

In this chapter, you learned that a contour is the outline of an object. This outline can either be on the outer border of the shape (an external contour) or it may be on a hole or other hollow surface inside the object (an inner contour). You learned how to detect contours of different objects and how to draw them on images using different colors. Also, you learned how to access different contours based on their area, width, and height.

Toward the end of the chapter, you gained hands-on experience of how to access the contours of a reference shape from an image containing multiple contours. This chapter can serve as a good foundation if you want to create smart systems, such as a license plate recognition system.

Up to Chapter 3, Working with Histograms, you learned about the basics of image processing using OpenCV. This chapter, on the other hand, was designed to give you a gentle push into the vast world of image processing and its practical applications in Computer...

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The Computer Vision Workshop
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