opencv3.4人脸识别源码（java版）

import java.io.File;
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.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
/**
 *  
 * OpenCV3.4 FaceDetect
 *
 */
 
public class FaceDetect
{
	/**
	 * 识别指定图片上的所有人脸
	 * @param inImg 输入原图
	 * @param outImg 输出图片，在原图的基础上添加"识别框" 
	 */
	
	public static void detect(String inImg,String outImg){
		//copy opencv_java340.dll under the jdk1.8/bin jdk1.8/jre/bin dir.
		//将opencv_java340.dll拷贝到jdk的/jre/bin目录下面
        // TODO Auto-generated method stub
		File f = new File(inImg);
		
		//原图片不存在直接退出
		if(!f.exists()){
			System.out.println("\n Image File Not Found!");
			return;
		}
		//获取原文件路径,让输出文件与原文件保存在同一路径
		String filePath = f.getAbsolutePath().substring(0, f.getAbsolutePath().indexOf(File.separator)+1);
	   //加载OPENCV3.4本地库,必须先加载
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        
        System.out.println("\nRunning FaceDetector");
        CascadeClassifier faceDetector = new CascadeClassifier();
        /**
         * 分类器，路径根据实际情况调整
         * haarcascade_frontalface_default  默认
         * haarcascade_frontalface_alt 识别性能要好些
         */
        faceDetector.load(
                "D:\\insput_jkpt\\openCV\\opencv\\build\\etc\\haarcascades\\haarcascade_frontalface_alt.xml");
        //读取图像
        Mat image = Imgcodecs.imread(inImg);
        //用于保存监测到的人脸
        MatOfRect faceDetections = new MatOfRect();
        //开始监测
        faceDetector.detectMultiScale(image, faceDetections);
        
        System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
        int i=0;
        
        for (Rect rect : faceDetections.toArray())
        {
        	//循环所有监测到的人脸
        	Point x = new Point(rect.x, rect.y);
        	Point y = new Point(rect.x + rect.width, rect.y + rect.height);
        	//在image图片上画框，x，y可确定框的位置和大小，new Scalar(0, 255, 0)是框的颜色，自行调整
            Imgproc.rectangle(image, x,y, new Scalar(0, 255, 0));
            
            //保存监测的人脸小图片
            Rect r = new Rect(x, y);
            System.out.println(r.height+":"+r.width);
            Mat areaM = new Mat(image, r);
            //保存监测的人脸小图片到tmp+序号的jpg文件
            String tmpFilePath = filePath+"tmp"+(i++)+".jpg";
            Imgcodecs.imwrite(tmpFilePath, areaM);
            
        }
        //保存画了方框的图片
        String filename = outImg;
        Imgcodecs.imwrite(filename, image);
        //销毁
        image.release();
	}
  
    public static void main(String[] args)
    {
    	 
    	detect("d:\\a1.jpg","d:\\ouput.jpg"); 
    }
}