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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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7. Object Detection and Face Recognition

Overview

The objective of this chapter is to explain the concepts of object detection and facial recognition techniques and implement these techniques on input images or videos. The first part of this chapter addresses facial recognition techniques based on Eigenfaces, Fisherfaces, and Local Binary Pattern (LBP) methods. The second part focuses on object detection techniques, and it begins with a widely practiced method called MobileNet Single Shot Detector (SSD) and subsequently addresses the LBP and Haar Cascade algorithms. By the end of this chapter, you will be able to determine and implement the most suitable algorithms for object detection and facial recognition to solve practical problems.

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The Computer Vision Workshop
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