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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface Section 1: Introduction to OpenCV 4 and Python
Setting Up OpenCV Image Basics in OpenCV Handling Files and Images Constructing Basic Shapes in OpenCV Section 2: Image Processing in OpenCV
Image Processing Techniques Constructing and Building Histograms Thresholding Techniques Contour Detection, Filtering, and Drawing Augmented Reality Section 3: Machine Learning and Deep Learning in OpenCV
Machine Learning with OpenCV Face Detection, Tracking, and Recognition Introduction to Deep Learning Section 4: Mobile and Web Computer Vision
Mobile and Web Computer Vision with Python and OpenCV Assessments Other Books You May Enjoy

An introduction to augmented reality

Location-based and recognition-based augmented reality are the two main types of augmented reality. Both types try to derive where the user is looking. This information is key in the augmented reality process, and relies on properly calculating the camera pose estimation. In order to accomplish this task, the two types are briefly described as follows:

  • Location-based augmented reality relies on detecting the user's location and orientation by reading data from several sensors, that are very common in smartphone devices (for example, GPS, digital compass, and accelerometer) to derive where the user is looking. This information is used to superimpose computer-generated elements on the screen.
  • On the other hand, recognition-based augmented reality uses image processing techniques to derive where the user is looking. Obtaining the camera...
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