David Millán Escrivá - Learn OpenCV 4 by Building Projects: Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition

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First published: January 2016
Second edition: November 2018

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David Milln Escriv was eight years old when he wrote his first program on an 8086 PC using the BASIC language. He completed his studies in IT from the Universitat Politcnica de Valencia with honors in human-computer interaction supported by computer vision with OpenCV (v0.96). He has a master's degree in artificial intelligence, computer graphics, and pattern recognition, focusing on pattern recognition and computer vision. He also has more than nine years' experience in computer vision, computer graphics, and pattern recognition. He is the author of the Damiles Blog, where he publishes articles and tutorials on OpenCV, computer vision in general, and optical character recognition algorithms.

Vincius G. Mendona is a computer graphics university professor at Pontifical Catholic University of Paran (PUCPR). He started programming with C++ back in 1998, and ventured into the field of computer gaming and computer graphics back in 2006. He is currently a mentor at the Apple Developer Academy in Brazil, working with, and teaching, metal, machine learning and computer vision for mobile devices. He has served as a reviewer on other Pack books, including OpenNI Cookbook, and Mastering OpenCV and Computer Vision with OpenCV 3 and Qt5. I n his research, he has used Kinect, OpenNI, and OpenCV to recognize Brazilian sign language gestures. His areas of interest include mobile, OpenGL, image processing, computer vision, and project management.

Prateek Joshi is an artificial intelligence researcher, an author of eight published books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research.

Marc Amberg is an experienced machine learning and computer vision engineer with a proven history of working in the IT and service industries. He is skilled in Python, C/C++, OpenGL, 3D Reconstruction, and Java. He is a strong engineering professional with a master's degree focused on computer science (Image, Vision, and Interactions) from Universit des Sciences et Technologies de Lille (Lille I).

Vincent Kok currently works as a software platform application engineer with Intel in the transportation industry sector. He graduated from the University Sains Malaysia (USM) with a degree in electronic engineering. Currently, he is pursuing his master's degree in embedded system engineering at USM. Vincent actively involves himself with the developer community and regularly participates in the Maker Faire, which is held in different parts of the world. He likes to design electronic hardware kits and gives soldering/arduino classes for beginners during his spare time.