Eclipse+Java+OpenCV246人脸识别

---恢复内容开始---

1.环境搭建：见上一篇博客

整个项目的结构图：

2.编写DetectFaceDemo.java,代码如下：

package com.njupt.zhb.test;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;

//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
  public void run() {
    System.out.println("
Running DetectFaceDemo");
    System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
    // Create a face detector from the cascade file in the resources
    // directory.
    //CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
    //Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
    //注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
        /*
         * Detected 0 faces Writing faceDetection.png libpng warning: Image
         * width is zero in IHDR libpng warning: Image height is zero in IHDR
         * libpng error: Invalid IHDR data
         */
    //因此，我们将第一个字符去掉
    String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
    CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
    Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

    // Draw a bounding box around each face.
    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
    }

    // Save the visualized detection.
    String filename = "faceDetection.png";
    System.out.println(String.format("Writing %s", filename));
    Highgui.imwrite(filename, image);
  }
}

3.编写测试类：

package com.njupt.zhb.test;
public class TestMain {
  public static void main(String[] args) {
    System.out.println("Hello, OpenCV");
    // Load the native library.
    System.loadLibrary("opencv_java246");
    new DetectFaceDemo().run();
  }
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png

运行结果：

源码下载：http://download.csdn.net/detail/nuptboyzhb/5961985

未经允许，不得用于商业目的

---恢复内容结束---

1.环境搭建：见上一篇博客

整个项目的结构图：

2.编写DetectFaceDemo.java,代码如下：

package com.njupt.zhb.test;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;

//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
  public void run() {
    System.out.println("
Running DetectFaceDemo");
    System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
    // Create a face detector from the cascade file in the resources
    // directory.
    //CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
    //Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
    //注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
        /*
         * Detected 0 faces Writing faceDetection.png libpng warning: Image
         * width is zero in IHDR libpng warning: Image height is zero in IHDR
         * libpng error: Invalid IHDR data
         */
    //因此，我们将第一个字符去掉
    String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
    CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
    Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

    // Draw a bounding box around each face.
    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
    }

    // Save the visualized detection.
    String filename = "faceDetection.png";
    System.out.println(String.format("Writing %s", filename));
    Highgui.imwrite(filename, image);
  }
}

3.编写测试类：

package com.njupt.zhb.test;
public class TestMain {
  public static void main(String[] args) {
    System.out.println("Hello, OpenCV");
    // Load the native library.
    System.loadLibrary("opencv_java246");
    new DetectFaceDemo().run();
  }
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png

运行结果：

源码下载：http://download.csdn.net/detail/nuptboyzhb/5961985

未经允许，不得用于商业目的