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You're reading from  Learning OpenCV 3 Application Development

Product typeBook
Published inDec 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781784391454
Edition1st Edition
Languages
C++
Tools
OpenCV
Concepts
Computer Vision
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Author (1)
Samyak Datta
Samyak Datta
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Samyak Datta

Samyak Datta has a bachelor's and a master's degree in Computer Science from the Indian Institute of Technology, Roorkee. He is a computer vision and machine learning enthusiast. His first contact with OpenCV was in 2013 when he was working on his master's thesis, and since then, there has been no looking back. He has contributed to OpenCV's GitHub repository. Over the course of his undergraduate and master's degrees, Samyak has had the opportunity to engage with both the industry and research. He worked with Google India and Media.net (Directi) as a software engineering intern, where he was involved with projects ranging from machine learning and natural language processing to computer vision. As of 2016, he is working at the Center for Visual Information Technology (CVIT) at the Indian Institute of Information Technology, Hyderabad.
Read more about Samyak Datta

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Image classification systems

As we had mentioned, this chapter marks our foray into the very real life and challenging task of detecting faces in images. Like all major problems that computer vision strives to address, face detection also has a defining property. It is a fairly easy (some would say, trivial) task for humans to accomplish, but not that straight-forward at all for a computer to do so!

Before we dive into the details of face detection frameworks in this chapter, we will take a moment to talk in brief about how classification systems typically operate in the realm of computer vision. Note that our discussions right now would be very brief-we'll be sharing only the gist of how classification algorithms work for images. An in-depth explanation of the same will be undertaken in our final chapter, that is, Chapter 9, Machine Learning with OpenCV. We are introducing a few key notions at this point in time because they would help us understand object detection frameworks (the subject...

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Learning OpenCV 3 Application Development
Published in: Dec 2016Publisher: PacktISBN-13: 9781784391454
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Samyak Datta

Samyak Datta has a bachelor's and a master's degree in Computer Science from the Indian Institute of Technology, Roorkee. He is a computer vision and machine learning enthusiast. His first contact with OpenCV was in 2013 when he was working on his master's thesis, and since then, there has been no looking back. He has contributed to OpenCV's GitHub repository. Over the course of his undergraduate and master's degrees, Samyak has had the opportunity to engage with both the industry and research. He worked with Google India and Media.net (Directi) as a software engineering intern, where he was involved with projects ranging from machine learning and natural language processing to computer vision. As of 2016, he is working at the Center for Visual Information Technology (CVIT) at the Indian Institute of Information Technology, Hyderabad.
Read more about Samyak Datta

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