OpenCV Computer Vision with Java: Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

Daniel Lelis Baggio

jul. 2015 · Packt Publishing Ltd

Om denne e-bog

Key Features

Book DescriptionIf 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.What you will learn

• Create powerful GUIs for computer vision applications with panels, scroll panes, radio buttons, sliders, windows, and mouse interaction using the popular Swing GUI widget toolkit
• Stretch, shrink, warp, and rotate images, as well as apply image transforms to find edges, lines, and circles, and even use Discrete Fourier Transforms (DFT)
• Detect foreground or background regions and work with depth images with a Kinect device
• Learn how to add computer vision capabilities to rock solid Java web applications allowing you to upload photos and create astonishing effects
• Track faces and apply mixed reality effects such as adding virtual hats to uploaded photos
• Filter noisy images, work with morphological operators, use flood fill, and threshold the important regions of an image
• Open and process video streams from webcams or video files

Who this book is for

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.

Om forfatteren

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.