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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

Summary

In this chapter, we looked at an introduction to augmented reality. We coded several examples to see how to build both marker and markerless augmented reality applications. Additionally, we saw how to overlay simple models (shapes or images, among others).

As commented previously, to overlay more complex models, PyOpenGL (standard OpenGL bindings for Python) can be used. In this chapter, for the sake of simplification, this library is not tackled.

We have also seen how to create some funny Snapchat-based filters. It should be noted that in Chapter 11, Face Detection, Tracking, and Recognition, more advanced algorithms for both face detection, tracking, and location of facial landmarks will be covered. Therefore, Snapchat-based filters coded in this chapter can be easily modified to include a more robust pipeline to derive the position where both the glasses and the moustache...

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