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

You're reading from   Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA Effective techniques for processing complex image data in real time using GPUs

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Length 380 pages
Edition 1st Edition
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Author (1):
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Bhaumik Vaidya Bhaumik Vaidya
Author Profile Icon Bhaumik Vaidya
Bhaumik Vaidya
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Table of Contents (15) Chapters Close

Preface 1. Introducing CUDA and Getting Started with CUDA 2. Parallel Programming using CUDA C FREE CHAPTER 3. Threads, Synchronization, and Memory 4. Advanced Concepts in CUDA 5. Getting Started with OpenCV with CUDA Support 6. Basic Computer Vision Operations Using OpenCV and CUDA 7. Object Detection and Tracking Using OpenCV and CUDA 8. Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1 9. Deploying Computer Vision Applications on Jetson TX1 10. Getting Started with PyCUDA 11. Working with PyCUDA 12. Basic Computer Vision Applications Using PyCUDA 13. Assessments 14. Other Books You May Enjoy

Introduction to image processing and computer vision

The volume of image and video data available in the world is increasing day by day. The increasing use of mobile devices to capture images and use of the internet to post them has allowed production of enormous amounts of video and image data every day. Image processing and computer vision are used in many applications across various domains. Doctors use MRI and X-ray images for medical diagnoses. Space scientists and chemical engineers use images for space exploration and analysis of various genes at the molecular level. Images can be used to develop autonomous vehicles and video surveillance applications. They can also be used in agricultural applications and to identify faulty products during manufacturing. All these applications need to process images on a computer at a high speed. We are not going to look at how images...

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