JavaCV For Windows

If you are currently planning a strategy to enhance the functionality of a library required in the field of computer vision, a software utility such as JavaCV could come in handy.
What the tool does is offer a Java interface for OpenCV, libdv1394, FFmpeg, OpenKinect, videoInput, PGR FlyCapture, librealsense, ARToolKitPlus, CL PS3 Eye Driver, etc., and it manages to improve them with the help of utility classes.
Aside from that, one of the major promises JavaCV makes to users who decide to give it a try is to offer hardware accelerated fullscreen image display. Geometric as well as color calibration of projectors and cameras is also on the list of features along with the multitude of ways of executing code in parallel, on multiple cores.
It should also be pointed out that a blob analysis package is included in this Java interface. Moreover, matching and detecting feature points is also possible, and aligning projector-camera systems directly should raise no difficulty whatsoever provided that you resort to JavaCV.
If you want to familiarize yourself with JavaCV and find out how to make the most of the API before getting to work, you can do that by taking a look at the indications the developer offers as sample usage.







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With JavaCV 1.2 you can build a program in Java language that accesses video images and streaming video data. The program can take screenshots as well as analyze image blobs on the screen and offer information about them. Also, video streaming can be listened or watched.
It is worth noting that JavaCV is designed to work with compatible OpenCV library. In addition to that, the API even lets you take advantage of the image processing features offered by OpenCV and FFmpeg.

Although the API is quite simple to grasp and easy to use, it features a comprehensive amount of possibilities and sophisticated functions that help one quickly and effectively apply analysis to images. As a matter of fact, JavaCV is developed by developer team in the form of a complete SDK with support for C, C++, C#, Matlab, OpenCV, etc. and the API is easily integrated with J2SE and J2ME.
Also, you can create your own image processing applications for mobile devices or PC/Windows with JavaCV SDK, and you can also find instances of the API that are designed to help you work with serialized Java objects.
The primary goal of the application is to create a sophisticated and highly functional programming framework for the process of image and video analysis. So you can easily do it with JavaCV.

What is JavaCV?

In simple words, JavaCV is an application programming interface that works with OpenCV. However, what separates it from other OpenCV interfaces is the fact that it works with multiple video standards, not just OpenCV. JavaCV is available in a.jar file which means that a developer can easily incorporate it in an existing application or create an API that will use JavaCV for image and video analysis.
To be more precise, JavaCV offers a Java interface for video streaming, webcam, video playback, and image analysis.

Just recently, it has been found out that JavaCV is compatible with the OpenKinect Project.

This means that by using JavaCV, you can easily manage devices such as OpenKinect, Philips Leap Motion, Microsoft Kinect One, and ARToolKitPlus.

Android applications based on JavaCV can also be found in Google Play store. This also means that JavaCV offers Android compatibility as well.

What sets JavaCV apart is the fact that it has a wide variety of algorithms and functions that are more than sufficient for effective programming.

Besides that, the application is also developed to include many functions

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The JavaCV is a simple library to allow you to use your Java code
to control OpenCV, libdv1394, FFmpeg, OpenKinect, videoInput, PGR FlyCapture, librealsense, ARToolKitPlus, CL PS3 Eye Driver, etc.
on any platform supported by OpenCV.
JavaCV is a pure Java wrapper around other libraries/frameworks, not an
actual implementation of the computer vision functionalities.
JavaCV requires only that the OpenCV-supported libraries (OpenCV,
OpenKinect, etc.) be installed and the corresponding native libraries
(.dll or.so) should be copied inside the JAVA_HOME/jre/lib/

The specification also mentions about the interfaces used in the development process.
What it brings to the table is an API to use OpenCV from Java in a cross-platform manner.

The major advantage in using JavaCV is that your Java program can
have control over the whole process. You can read any video from
camera or projector and extract image, go through the pipeline and
return the result.
JavaCV is not restricted to use OpenCV only. Other supported
libraries are listed below:
libavcodec (AVCODEC) – Video encoding/decoding
libavformat (AVFMT) – Video format parsing/muxing
libavfilter (AVFILTER) – Add/remove various filters
libavresample (AVRESAMPLE) – Resample audio/video to various bitrates
libavutil (AVUTIL) – Utility functions for dealing with time
libswscale (SWSCALE) – Video scaling
libswresample (SWRESAMPLE) – Resampling audio
libswfdec (SWFDEC) – SWF display library
libdv1394 (DV1394) – DV1394 library
libdv4e (DV4E) – DV4E library
libdv1394 (DV1394) – DV1394 library
libdv4e (DV4E) – DV4E library
libdv1394 (DV1394) – DV1394 library
libdv4e (DV4E) – DV4E library
libdv1394 (DV1394)

What’s New In?

The goal of JavaCV is to offer a Java interface to the OpenCV C/C++
library and a variety of other utilities working with computer
vision, such as D1394, libDV1394, FFmpeg, OpenKinect, videoInput,
PGR FlyCapture, librealsense, ARToolKitPlus, CL PS3 Eye Driver, etc.
The utility class, which comes in handy, manages, in a unified
manner, a variety of tasks, like conversion of media files, loading
video/images from files and/or webcams, making the captured
camera/projector stream configurable, managing hardware accelerated
fullscreen image display, Geometric/Color calibration of projectors and
cameras, matching and detecting feature points, aligning projectors
with/against cameras, etc.
The library makes use of three main blocks. The first one is the
Utility class. It offers a unified interface to common computer vision
utilities, like FFmpeg, OpenKinect, videoInput, etc.
The second block is the Image class. The class offers a unified
interface to common image processing tasks such as loading and
displaying images from files and/or Webcams, converting image
formats, converting to grayscale, etc.
The third block is the Device class. It offers a unified interface to
hardware available devices (accelerators).
The library is cross-platform. For Windows users it is offered in the
form of a JAR file. For OSX users, it is offered in the form of an
OSX framework. For Linux users, it is offered as a GTK++ GUI app.

Download JavaCV Source Code
The first step one should do when learning about JavaCV is to download the source code for it from its site, and then examine the API (Application Programming Interface).
Some of the programs in the library that you may want to start with are getting the camera stream configurated and the webcam turned on and off. The following lists the programs that are currently included in JavaCV:

FFmpeg is an open-source, full-featured, cross-platform multimedia framework. It supports various file formats, container formats and streaming protocols.
The FFmpeg Project is a free software project and library whose goal is to create a complete, compliant free


System Requirements For JavaCV:

Processor: Intel Core 2 Duo 2.4GHz/AMD Athlon X2 2.8GHz
Memory: 2GB
Hard Disk: 5GB free space
Video: NVIDIA GeForce 8600M GT/AMD Radeon HD 2600XT
Processor: Intel Core i3 or AMD FX-9590
Memory: 8GB
Video: NVIDIA GeForce GTX 760/AMD Radeon R9 270X
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