搜索资源列表
OpenMind
- OpenMind 是一个在OpenGL for Java之上编写的场景图形。它已经提供了层次式的场景管理和对象转换，完全动态摄像机，光照和雾化，2D用户接口元素场景管理，2D和3D鼠标选取，等等 -OpenMind is a Java in OpenGL, prepared for the graphic scenes. It has provided a hierarchical management of the scenes and objects conversion, fully
ZXing-1.3.zip
- ZXing是一个开源Java类库用于解析多种格式的1D/2D条形码。目标是能够对QR编码、Data Matrix、UPC的1D条形码进行解码。 其提供了多种平台下的客户端包括：J2ME、J2SE和Android。 ,ZXing is an open-source, multi-format 1D/2D barcode image processing library implemented in Java. Our focus is on using the built-in camera on
JOGLLesson01SampleWindow
- The Java JOGL OpenGL binding using Netbeans. Lesson 1: In this lesson, the basic components of a JOGL program explained. Window production and camera positioning means gluLookAt () are explained. In addition,we create the basis for our example GL_QUA
androidUSBCamera
- 这是Android 2.3.4版本的 UVC Camera 测试程序, 使用YUYV格式, (其实 MJPG 格式也是可以用的, 只要我注释掉的那几行代码 uncomment一下就好了) 所使用的 camera 在android 中的设备节点是 /dev/video1 , 做为前置摄像头, 要运行起这个程序可能有点麻烦, 因为我修改了一些不相关的 JAVA 代码, 而要正确编译这个程序, 懂得补充(或者去掉)这些JAVA部分 但是如果使
TIP-Camera-CGI
- java摄像头TIP-Camera-CGI-java camera TIP-Camera-CGI
JavaOpenCV249
- 介绍java+opencv实现人脸检测，以及二者结合的安装步骤，java调用摄像头的安装步骤。-Introduction java+opencv implement face detection, and a combination of both installation steps, java call camera installation steps.
OpenCVPjava
- Java和OpenCV2.0的人脸视觉检测，通过摄像头实时检测和跟踪人脸-Face Java and OpenCV2.0 visual inspection by the camera in real-time detection and tracking human faces
opencvandroidboilerplate-master
- This a boilerplate Eclipse project for the OpenCV4Android API. This project includes a simple Android framework which accesses phone camera and processes it using the OpenCV4Android Java API. -This is a boilerplate Eclipse project for the OpenCV4Andr
java
- opencv示例代码，很好的例子可以学习学习，希望大家能够很好的学习opencv(use the high-level stitching API for stitching provided by - @ref cv::Stitcher - learn how to use preconfigured Stitcher configurations to stitch images using different camera models.)
facerecognition
- JAVA开发的人脸识别,能通过摄像头识别人脸,识别率不错(JAVA developed face recognition, through the camera to identify the face, the recognition rate is good.)