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The Computer Vision Workshop

The Computer Vision Workshop

By : Hafsa Asad , Vishwesh Ravi Shrimali , Nikhil 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

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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Introduction to OpenCV

OpenCV, also known as the Open Source Computer Vision library, is the most commonly used computer vision library. Primarily written in C++, it's also commonly used in Python, thanks to its Python wrappers. Over the years, OpenCV has been through multiple revisions and its current version is 4.2.0 (which is the version we are going to use in this book). What makes it different from other computer vision libraries is the fact that it's fast and easy to use, it provides support for libraries such as QT and OpenGL, and most importantly, it provides hardware acceleration for Intel processors. These powerful features/benefits make OpenCV the perfect choice for understanding the various concepts of computer vision and implementing them. Apart from OpenCV, we will also use NumPy for some basic computation and Matplotlib for visualization, wherever required.

Note

Refer to the Preface for NumPy and OpenCV installation instructions.

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The Computer Vision Workshop
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