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OpenCV Computer Vision with Java

You're reading from OpenCV Computer Vision with Java Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781783283972

Length 174 pages

Edition 1st Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Daniel Lelis Baggio

View More author details

Table of Contents (9) Chapters

Preface

1. Setting Up OpenCV for Java FREE CHAPTER

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

Index

A

AdaBoosting
- about / AdaBoost
affine transformations
- about / Geometric transforms – stretch, shrink, warp, and rotate
Ant
- used, for building project / Building your project with Ant
Apache Ant
- URL / Building OpenCV from the source code

B

background subtraction
- about / Background subtraction
- averaging / Averaging a background method
BGR (blue, green, and red) format / Pixel manipulation
bilateral filtering / Bilateral filtering
boosting theory
- about / The boosting theory
- AdaBoost / AdaBoost

C

C/C++ compilers
- URL / Building OpenCV from the source code
camera
- video, capturing from / Capturing a video from a camera
canny transforms
- and Laplace / The Laplace and Canny transforms
cascade classifier
- using / Cascade classifier detection and training
- object detection / Detection
- training / Training
- custom cascade classifier, creating / Training...

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Authors (1)

Baggio

Baggio

Daniel Lélis Baggio has started his works in computer vision through medical image processing at InCor (Instituto do Coração – Heart Institute) in São Paulo, Brazil, where he worked with intra-vascular ultrasound (IVUS) image segmentation. After that he has focused on GPGPU and ported that algorithm to work with NVidia's Cuda. He has also dived into 6 degrees of freedom head tracking with Natural User Interface group through a project called EHCI (http://code.google.com/p/ehci/ ). He also wrote “Mastering OpenCV with Practical Computer Vision Projects” from Packt Publishing.

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