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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 cropping for face alignment

Having learnt about cropping, we would now want to continue our discourse on face alignment. The cropping is to happen on the rotated images that we generated in one of our previous sections. So, ideally the implementation for image rotation and cropping are part of the same code snippet/function/module. However, for the purpose of illustrating and focusing on scaling/cropping separately in this section, we will first demonstrate the working of the same independent to the image rotation code. Then, in the next section, we integrate them together so that you get an idea of how these two operations can be coupled together to complete our facial alignment pipeline.

The main problem that we are going to deal with in this section is how to come up with suitable parameters that help us define our ROI. Note that in contrast to the previous section, we have a definite goal for the ROI in mind. We are cropping images so that the unnecessary background distractions...

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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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