Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective Techniques for Processing Complex Image Data in Real Time Using GPUs

506 Pages·014.315 MB·English

by  Bhaumik Vaidya

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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Effective techniques for processing complex image data in real time using GPUs

Bhaumik Vaidya

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Hands-On GPU-Accelerated
Computer Vision with OpenCV and
CUDA
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First published: September 2018
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ISBN 978-1-78934-829-3
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Contributors
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About the author
Bhaumik Vaidya is an experienced computer vision engineer and mentor. He
has worked extensively on OpenCV Library in solving computer vision
problems. He is a University gold medalist in masters and is now doing a PhD in
the acceleration of computer vision algorithms built using OpenCV and deep
learning libraries on GPUs. He has a background in teaching and has guided
many projects in computer vision and VLSI(Very-large-scale integration). He
has worked in the VLSI domain previously as an ASIC verification engineer, so
he has very good knowledge of hardware architectures also. He has published
many research papers in reputable journals to his credit. He, along with his PhD
mentor, has also received an NVIDIA Jetson TX1 embedded development
platform as a research grant from NVIDIA.

"I would like to thank my parents and family for their immense support. I would especially like to thank
Parth Vaghasiya, who has stood like a pillar with me, for his continuous love and support. I really
appreciate and thank Umang Shah and Ayush Vyas for their help in the development of content for this
book. I would like to thank my friends Nihit, Arpit, Chirag, Vyom, Anupam, Bhavin, and Karan for their
constant motivation and encouragement. I would like to thank Jay, Rangat, Manan, Rutvik, Smit, Ankit,
Yash, Prayag, Jenish, Darshan, Parantap, Saif, Sarth, Shrenik, Sanjeet, and Jeevraj, who have been very
special to me for their love, motivation, and support. I would like to thank Dr. Chirag Paunwala, Prof.
Vandana Shah, Ms. Jagruti Desai and Prof. Mustafa Surti for their continuous guidance and support.
I gratefully acknowledge the support of NVIDIA Corporation and their donation of the Jetson TX1 GPU
used for this book. I am incredibly grateful to Pooja Parvatkar, Alok Dhuri, and all the amazing people of
Packt Publishing for taking their valuable time out to review this book in so much detail and for helping me
during the development of the book.
To the memory of my grandmother, Urmilaben Vaidya, and to my family members, Vidyut Vaidya, Sandhya
Vaidya, Bhartiben Joshi, Hardik Vaidya, and Parth Vaghasiya for their sacrifices, love, support, and
inspiration."
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About the reviewer
Vandana Shah gained her bachelor's degree in electronics in the year 2001. She
has also gained an MBA in Human Resource management an a master's in
Electronics Engineering specifically in the VLSI domain. She has also submitted
her thesis for a PhD in electronics, specifically concerning the domain of image
processing and deep learning for brain tumor detection, and is awaiting her
award. Her area of interest is image processing with deep learning and
embedded systems. She has more than 13 years of experience in research, as
well as in teaching and guiding undergraduate and postgraduate students of
electronics and communications. She has published many papers in renowned
journals, such as IEEE, Springer, and Inderscience. She is also receiving a
government grant for her upcoming research in the MRI image-processing
domain. She has dedicated her life to mentoring students and researchers. She is
also able to train students and faculty members in soft-skill development.
Besides her prowess in technical fields, she also has a strong command of
Kathak, an Indian dance.
"I thank my family members for their full support."

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