
The The Computer Vision Workshop
Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
Packt Publishing
Published on 27. July 2020
Book
Paperback/Softback
568 pages
978-1-80020-177-4 (ISBN)
Description
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior
Key Features
Understand OpenCV and select the right algorithm to solve real-world problems
Discover techniques for image and video processing
Learn how to apply face recognition in videos to automatically extract key information
Book DescriptionComputer 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.
What you will learn
Access and manipulate pixels in OpenCV using BGR and grayscale images
Create histograms to better understand image content
Use contours for shape analysis, object detection, and recognition
Track objects in videos using a variety of trackers available in OpenCV
Discover how to apply face recognition tasks using computer vision techniques
Visualize 3D objects in point clouds and polygon meshes using Open3D
Who this book is forIf you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Key Features
Understand OpenCV and select the right algorithm to solve real-world problems
Discover techniques for image and video processing
Learn how to apply face recognition in videos to automatically extract key information
Book DescriptionComputer 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.
What you will learn
Access and manipulate pixels in OpenCV using BGR and grayscale images
Create histograms to better understand image content
Use contours for shape analysis, object detection, and recognition
Track objects in videos using a variety of trackers available in OpenCV
Discover how to apply face recognition tasks using computer vision techniques
Visualize 3D objects in point clouds and polygon meshes using Open3D
Who this book is forIf you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 31 mm
Weight
1046 gr
ISBN-13
978-1-80020-177-4 (9781800201774)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Hafsa Asad Asad | Vishwesh Ravi Shrimali Shrimali | Nikhil Singh Singh
The Computer Vision Workshop
Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
E-Book
07/2020
1st Edition
Packt Publishing Limited
€32.99
Available for download
Persons
Hafsa Asad graduated in Mechatronics Engineering from NUST, Pakistan. She worked at EVEATI Pvt Ltd for 5 years as a Machine Learning Engineer and Trainer. Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. Since then, he has worked with BigVision LLC on deep learning and computer vision and was involved in creating official OpenCV AI courses. Nikhil Singh is a computer vision and natural language processing engineer who likes to apply his knowledge of machine learning and deep learning to solve intriguing problems.
Content
Table of Contents
Basics of Image Processing
Common Operations When Working with Images
Working with Histograms
Working with Contours
Face Processing in Image and Video
Object Tracking
Object Detection and Face Recognition
OpenVINO with OpenCV
Basics of Image Processing
Common Operations When Working with Images
Working with Histograms
Working with Contours
Face Processing in Image and Video
Object Tracking
Object Detection and Face Recognition
OpenVINO with OpenCV