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You're reading from  Mastering OpenCV 4 with Python

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789344912
Edition1st Edition
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Alberto Fernández Villán
Alberto Fernández Villán
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Alberto Fernández Villán

Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
Read more about Alberto Fernández Villán

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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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Mastering OpenCV 4 with Python
Published in: Mar 2019Publisher: PacktISBN-13: 9781789344912

Author (1)

author image
Alberto Fernández Villán

Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
Read more about Alberto Fernández Villán