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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

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Pages 380 pages
Edition 1st Edition
Languages
Author (1):
Bhaumik Vaidya Bhaumik Vaidya
Profile icon Bhaumik Vaidya
Toc

Table of Contents (15) Chapters close

Preface 1. Introducing CUDA and Getting Started with CUDA 2. Parallel Programming using CUDA C 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

Advanced applications on Jetson TX1

This section will describe the use of a Jetson TX1 embedded platform in the deployment of advanced computer vision applications, like face detection, eye detection, and background subtraction.

Face detection using Haar cascades

A Haar cascade uses rectangular features to detect an object. It uses rectangles of different sizes to calculate different line and edge features. The idea behind the Haar-like feature detection algorithm is to compute the difference between the sum of white pixels and the sum of black pixels inside the rectangle.

The main advantage of this method is the fast sum computation using the integral image approach. This makes the Haar cascade ideal for real-time object...

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