| Description |
1 online resource (1 volume) : illustrations |
| Series |
Community experience distilled |
|
Community experience distilled.
|
| Note |
Includes index. |
| Contents |
""Cover""; ""Copyright""; ""Credits""; ""About the Author""; ""Acknowledgment""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: Setting Up OpenCV for Java""; ""Getting OpenCV for Java development""; ""Building OpenCV from the source code""; ""Java OpenCV project in Eclipse""; ""NetBeans configuration""; ""A Java OpenCV simple application""; ""Building your project with Ant""; ""Java OpenCV Maven configuration""; ""Creating a Windows Java OpenCV Maven project pointing to the Packt repository"" |
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""Creating a Java OpenCV Maven project pointing to a local repository""""Summary""; ""Chapter 2: Handling Matrices, Files, Cameras, and GUIs""; ""Basic matrix manipulation""; ""Pixel manipulation""; ""Loading and displaying images from files""; ""Displaying an image with Swing""; ""Capturing a video from a camera""; ""Video playback""; ""Swing GUI's integration with OpenCV""; ""Summary""; ""Chapter 3: Image Filters and Morphological Operators""; ""Smoothing""; ""Averaging""; ""Gaussian""; ""Median filtering""; ""Bilateral filtering""; ""Morphological operators""; ""Flood filling"" |
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""Image pyramids""""Thresholding""; ""Summary""; ""Chapter 4: Image Transforms""; ""The Gradient and Sobel derivatives""; ""The Laplace and Canny transforms""; ""The line and circle Hough transforms""; ""Geometric transforms � stretch, shrink, warp, and rotate""; ""Discrete Fourier Transform and Discrete Cosine Transform""; ""Integral images""; ""Distance transforms""; ""Histogram equalization""; ""References""; ""Summary""; ""Chapter 5: Object Detection Using Ada Boost and Haar Cascades""; ""Boosting theory""; ""AdaBoost""; ""Cascade classifier detection and training""; ""Detection"" |
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""Training""""References""; ""Summary""; ""Chapter 6: Detecting Foreground and Background Regions and Depth with a Kinect Device""; ""Background subtraction""; ""Frame differencing""; ""Averaging background method""; ""The mixture of Gaussians method""; ""Contour finding""; ""Kinect depth maps""; ""Kinect setup""; ""Driver setup""; ""OpenCV Kinect support""; ""The Kinect depth application""; ""Summary""; ""Chapter 7: OpenCV on the Server Side""; ""Setting up an OpenCV web application""; ""Creating a Maven-based web application""; ""Adding OpenCV dependencies""; ""Running the web application"" |
|
""Importing the project to Eclipse""""Mixed reality web applications""; ""Image upload""; ""Image processing""; ""The response image""; ""Summary""; ""Index"" |
| Summary |
If you are a Java developer, student, researcher, or hobbyist wanting to create computer vision applications in Java then this book is for you. If you are an experienced C/C++ developer who is used to working with OpenCV, you will also find this book very useful for migrating your applications to Java. All you need is basic knowledge of Java, with no prior understanding of computer vision required, as this book will give you clear explanations and examples of the basics. |
| Subject |
Java (Computer program language)
|
|
Web applications -- Development.
|
|
Java (Langage de programmation) |
|
Applications Web -- Développement. |
|
Java (Computer program language) |
| Added Title |
Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java |
| Other Form: |
Print version: Baggio, Daniel Lélis. OpenCV 3.0 computer vision with Java : create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java. Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015 x, 147 pages 9781783283972 |
| ISBN |
178328398X |
|
1783283971 |
|
9781783283972 |
|
9781783283989 (electronic bk.) |
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