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OpenCV 3.0 Computer Vision with Java

You're reading from  OpenCV 3.0 Computer Vision with Java

Product type Book
Published in Jul 2015
Publisher
ISBN-13 9781783283972
Pages 174 pages
Edition 1st Edition
Languages
Author (1):
Daniel Lelis Baggio Daniel Lelis Baggio
Profile icon Daniel Lelis Baggio

Table of Contents (15) Chapters

OpenCV 3.0 Computer Vision with Java
Credits
About the Author
Acknowledgment
About the Reviewers
www.PacktPub.com
Preface
1. Setting Up OpenCV for Java 2. Handling Matrices, Files, Cameras, and GUIs 3. Image Filters and Morphological Operators 4. Image Transforms 5. Object Detection Using Ada Boost and Haar Cascades 6. Detecting Foreground and Background Regions and Depth with a Kinect Device 7. OpenCV on the Server Side Index

About the Reviewers

Ngoc Dao studied computer vision at the Computer Vision and Image Media Lab of the University of Tsukuba, Japan. He has created several high-speed and scalable image matching server systems using Scala, Akka, and MongoDB with OpenCV's Java binding. These systems can scale multiple machines and have successfully been used with many iOS and Android apps.

Other than computer vision, Ngoc is also interested in real-time distributed systems and web frameworks. He is the main author of Xitrum, which is an open source async and clustered web framework for Scala (http://xitrum-framework.github.io). He presented this framework at the Scala Matsuri 2014 conference in Tokyo (http://scalamatsuri.org/en/program/index.html).

Dileep Kumar Kotha currently works as a senior software engineer at a telecom firm in Bangalore, India. He is an undergraduate in computer science from the National Institute of Technology, Rourkela, 2012 batch. He started working on image processing during his summer internship at the prestigious IIT Kharagpur and has continued working with OpenCV on Linux machines ever since. Currently, he successfully manages a blog on OpenCV for beginners, which you can find at http://opencvuser.blogspot.in/.

Domenico Luciani is a passionate 22-year-old programmer. He currently works as a software engineer for some companies and is studying computer science at the University of Palermo, Italy.

He is a computer vision enthusiast and loves security and often pentests too; he also takes part in bounty programs for many companies. He has worked with many technologies in the past, such as MongoDB, Node.js, PHP, PostgreSQL, and C. He makes many Node.js modules that he successfully publishes on the NPM website. He collaborated as a reviewer on a published BDD test using a JavaScript book. He studies the Go language (golang) just for fun.

He owns a Raspberry Pi. He loves writing code using vim and manages it with Git. He also writes tests and collaborates with various open source projects on the Web.

In his free time, he likes running and playing Parkour. You can find out more about him at http://dlion.it.

Sebastian Montabone is a computer engineer with a master's of science degree in computer vision. He has worked in areas, such as intelligent IP cameras for automated surveillance, data mining, 3D sensors, game development, and embedded devices.

He is the author of Beginning Digital Image Processing: Using Free Tools for Photographers, Apress. He has also written scientific articles and a computer vision video course OpenCV Computer Vision Application Programming, Packt Publishing.

You can visit his blog at www.samontab.com, where he shares his current projects with the world.

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