Java使用opencv实现人脸识别（一）标记瞳孔 、截取人脸

第一步

先在官网上下载opencv,官方下载opencv安装文件: http://www.opencv.org.cn

第二步

配置opencv,具体过程链接： https://blog.csdn.net/qq_32407233/article/details/84550448

第三步

可以写代码了，我用的是opencv-2431，比较老的版本

import org.opencv.core.*;
import org.opencv.highgui.Highgui;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.core.Point;import java.util.Random;public class Main {public static void main(String[] args) {Main m=new Main();System.loadLibrary(Core.NATIVE_LIBRARY_NAME);Mat source,target;target=new Mat();String sourceAddress="C:\\Users\\Administrator\\Desktop\\image\\1.jpg";String targetAddress="C:\\Users\\Administrator\\Desktop\\image\\c10.jpg";source= Highgui.imread(sourceAddress,0);//把图象变为灰度，大小一致输出Highgui.imwrite(sourceAddress,source);Size size=new Size(300,400);Imgproc.resize(source,target,size,0,0,Imgproc.INTER_NEAREST);Highgui.imwrite(sourceAddress,target);try {detectEye(sourceAddress,targetAddress);target=Highgui.imread(targetAddress,1);detectFace(target);} catch (Exception e) {e.printStackTrace();}}/*** opencv实现人眼识别* @param imagePath* @param outFile* @throws Exception*/public static void detectEye(String imagePath,  String outFile) throws Exception {CascadeClassifier eyeDetector = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_eye_tree_eyeglasses.xml");// CascadeClassifier faceDetector = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_frontalface_alt.xml");Mat image = Highgui.imread(imagePath);  //读取图片// 在图片中检测人脸MatOfRect faceDetections = new MatOfRect();eyeDetector.detectMultiScale(image, faceDetections);Rect[] rects = faceDetections.toArray();if(rects != null && rects.length >= 1) {Rect eyea=rects[0];Rect eyeb=rects[1];double dy=(eyeb.y-eyea.y);double dx=(eyeb.x-eyea.x);double len=Math.sqrt(dx*dx+dy*dy);System.out.println("dx is "+dx);System.out.println("dy is "+dy);System.out.println("len is "+len);double angle=Math.atan2(Math.abs(dy),Math.abs(dx))*180.0/Math.PI;System.out.println("angle is "+angle);for(Rect rec:faceDetections.toArray()) {// Core.rectangle(image, new Point(rec.x, rec.y), new Point(rec.x//          +rec.width, rec.y +rec.height), new Scalar(0, 255, 0));//在瞳孔处做标记Point center=new Point();center.x = Math.ceil(rec.x + rec.width*0.5);center.y = Math.ceil(rec.y + rec.height*0.5);Core.circle( image, center, 2, new Scalar(0,255,0), 3, 8, 0 );}}System.out.println(String.format("Detected %s eyes", faceDetections.toArray().length));Highgui.imwrite(outFile, image);System.out.println(String.format("人眼识别成功，人眼图片文件为： %s", outFile));}public static Mat detectFace(Mat img) {System.out.println("Running DetectFace ... ");// 从配置文件lbpcascade_frontalface.xml中创建一个人脸识别器，该文件位于opencv安装目录中CascadeClassifier faceDetector = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_frontalface_alt.xml");CascadeClassifier eyeDetector = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_eye.xml");// 在图片中检测人脸MatOfRect faceDetections = new MatOfRect();faceDetector.detectMultiScale(img, faceDetections);//System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));Rect[] rects = faceDetections.toArray();Random r = new Random();if(rects != null && rects.length >= 1){for (Rect rect : rects) {//画矩形Core.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),new Scalar(0, 0, 255), 2);//识别人眼Mat faceROI = new Mat(img, rect );MatOfRect eyesDetections = new MatOfRect();eyeDetector.detectMultiScale( faceROI, eyesDetections);System.out.println("Running DetectEye ... "+ eyesDetections);if( eyesDetections.toArray().length > 1){save(img, rect, "C:\\Users\\Administrator\\Desktop\\image\\"+r.nextInt(2000)+".jpg");}}}return img;}/*** opencv将人脸进行截图并保存* @param img*/private static void save(Mat img, Rect rect, String outFile){Mat sub = img.submat(rect);Mat mat = new Mat();Size size = new Size(64, 64);Imgproc.resize(sub, mat, size);Highgui.imwrite(outFile, mat);}}

效果图
图片:

参考链接：[link]https://blog.csdn.net/zmx729618/article/details/78142271.