You're reading from Mastering OpenCV 4 with Python

Product typeBook

Published inMar 2019

Reading LevelExpert

PublisherPackt

ISBN-139781789344912

Edition1st Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1)

Alberto Fernández Villán

Questions

Initialize the ORB detector, find keypoints, and compute descriptors in the loaded image image with ORB
Draw the previously detected keypoints
Create the BFMatcher object and match the descriptors_1 and descriptors_2, which have been previously calculated
Sort the matches calculated before and draw the first 20 matches
Detect markers using ArUco in the gray_frame image
Draw detected markers using ArUco
Draw rejected markers using ArUco
Detect and decode a QR code contained in the image image

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Mastering OpenCV 4 with Python

Published in: Mar 2019Publisher: PacktISBN-13: 9781789344912

Author (1)

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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Author (1)

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