OPENCV+JAVA 人脸识别
http://opencv.org/releases.html
官方下载 安装文件 ，以win7为例，下载opencv-2.4.13.3-vc14.exe
安装后，在build目录下 D:\opencv\build\java，获取opencv-2413.jar，copy至项目目录
同时需要dll文件 与 各 识别xml文件，进行不同特征的识别（人脸，侧脸，眼睛等）
dll目录：D:\opencv\build\java\x64\opencv_java2413.dll
xml目录：D:\opencv\sources\data\haarcascades\haarcascade_frontalface_alt.xml（目录中有各类识别文件）
项目结构：
具体代码：由于需要用到 opencv 的dll文件，故要么放在java library path 中，或放在jre lib 中，windows下可放在System32目录下
也可以在代码中 动态加载，如下：
package opencv;import com.sun.scenario.effect.ImageData;import org.opencv.core.*;import org.opencv.core.Point;import org.opencv.highgui.Highgui;import org.opencv.imgproc.Imgproc;import org.opencv.objdetect.CascadeClassifier;import javax.imageio.ImageIO;import javax.swing.*;import java.awt.*;import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import java.util.Arrays;import java.util.Vector;/*** Created by Administrator on 2017/8/17.*/public class Test {static{// 导入opencv的库String opencvpath = System.getProperty("user.dir") + "\\opencv\\x64\\";String libPath = System.getProperty("java.library.path");String a = opencvpath + Core.NATIVE_LIBRARY_NAME + ".dll";System.load(opencvpath + Core.NATIVE_LIBRARY_NAME + ".dll");}public static String getCutPath(String filePath){String[] splitPath = filePath.split("\\.");return splitPath[0]+"Cut"+"."+splitPath[1];}public static void process(String original,String target) throws Exception {String originalCut = getCutPath(original);String targetCut = getCutPath(target);if(detectFace(original,originalCut) && detectFace(target,targetCut)){}}public static boolean detectFace(String imagePath,String outFile) throws Exception{System.out.println("\nRunning DetectFaceDemo");// 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");Mat image = Highgui.imread(imagePath);// 在图片中检测人脸MatOfRect faceDetections = new MatOfRect();faceDetector.detectMultiScale(image, faceDetections);System.out.println(String.format("Detected %s faces",faceDetections.toArray().length));Rect[] rects = faceDetections.toArray();if(rects != null && rects.length > 1){throw new RuntimeException("超过一个脸");}// 在每一个识别出来的人脸周围画出一个方框Rect rect = rects[0];Core.rectangle(image, new Point(rect.x-2, rect.y-2), new Point(rect.x+ rect.width, rect.y + rect.height), new Scalar(0, 255, 0));Mat sub = image.submat(rect);Mat mat = new Mat();Size size = new Size(300, 300);Imgproc.resize(sub, mat, size);//将人脸进行截图并保存return Highgui.imwrite(outFile, mat);// 将结果保存到文件// String filename = "C:\\Users\\Administrator\\Desktop\\opencv\\faceDetection.png";// System.out.println(String.format("Writing %s", filename));// Highgui.imwrite(filename, image);}public static void setAlpha(String imagePath,String outFile) {/*** 增加测试项* 读取图片，绘制成半透明*/try {ImageIcon imageIcon = new ImageIcon(imagePath);BufferedImage bufferedImage = new BufferedImage(imageIcon.getIconWidth(),imageIcon.getIconHeight(), BufferedImage.TYPE_4BYTE_ABGR);Graphics2D g2D = (Graphics2D) bufferedImage.getGraphics();g2D.drawImage(imageIcon.getImage(), 0, 0,imageIcon.getImageObserver());//循环每一个像素点，改变像素点的Alpha值int alpha = 100;for (int j1 = bufferedImage.getMinY(); j1 < bufferedImage.getHeight(); j1++) {for (int j2 = bufferedImage.getMinX(); j2 < bufferedImage.getWidth(); j2++) {int rgb = bufferedImage.getRGB(j2, j1);rgb = ( (alpha + 1) << 24) | (rgb & 0x00ffffff);bufferedImage.setRGB(j2, j1, rgb);}}g2D.drawImage(bufferedImage, 0, 0, imageIcon.getImageObserver());//生成图片为PNGImageIO.write(bufferedImage, "png", new File(outFile));}catch (Exception e) {e.printStackTrace();}}private static void watermark(String a,String b,String outFile, float alpha) throws IOException {// 获取底图BufferedImage buffImg = ImageIO.read(new File(a));// 获取层图BufferedImage waterImg = ImageIO.read(new File(b));// 创建Graphics2D对象，用在底图对象上绘图Graphics2D g2d = buffImg.createGraphics();int waterImgWidth = waterImg.getWidth();// 获取层图的宽度int waterImgHeight = waterImg.getHeight();// 获取层图的高度// 在图形和图像中实现混合和透明效果g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));// 绘制g2d.drawImage(waterImg, 0, 0, waterImgWidth, waterImgHeight, null);g2d.dispose();// 释放图形上下文使用的系统资源//生成图片为PNGImageIO.write(buffImg, "png", new File(outFile));}public static boolean mergeSimple(BufferedImage image1, BufferedImage image2, int posw, int posh, File fileOutput) {//合并两个图像int w1 = image1.getWidth();int h1 = image1.getHeight();int w2 = image2.getWidth();int h2 = image2.getHeight();BufferedImage imageSaved = new BufferedImage(w1, h1, BufferedImage.TYPE_INT_ARGB);Graphics2D g2d = imageSaved.createGraphics();// 增加下面代码使得背景透明g2d.drawImage(image1, null, 0, 0);image1 = g2d.getDeviceConfiguration().createCompatibleImage(w1, w2, Transparency.TRANSLUCENT);g2d.dispose();g2d = image1.createGraphics();// 背景透明代码结束// for (int i = 0; i < w2; i++) {// for (int j = 0; j < h2; j++) {// int rgb1 = image1.getRGB(i + posw, j + posh);// int rgb2 = image2.getRGB(i, j);//// if (rgb1 != rgb2) {// //rgb2 = rgb1 & rgb2;// }// imageSaved.setRGB(i + posw, j + posh, rgb2);// }// }boolean b = false;try {b = ImageIO.write(imageSaved, "png", fileOutput);} catch (IOException ie) {ie.printStackTrace();}return b;}public static void main(String[] args) throws Exception {String a,b,c,d;a = "C:\\Users\\Administrator\\Desktop\\opencv\\zzl.jpg";d = "C:\\Users\\Administrator\\Desktop\\opencv\\cgx.jpg";//process(a,d);a = "C:\\Users\\Administrator\\Desktop\\opencv\\zzlCut.jpg";d = "C:\\Users\\Administrator\\Desktop\\opencv\\cgxCut.jpg";CascadeClassifier faceDetector = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_frontalface_alt.xml");CascadeClassifier eyeDetector1 = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_eye.xml");CascadeClassifier eyeDetector2 = new CascadeClassifier("C:\\Users\\Administrator\\Desktop\\opencv\\haarcascade_eye_tree_eyeglasses.xml");Mat image = Highgui.imread("C:\\Users\\Administrator\\Desktop\\opencv\\gakki.jpg");// 在图片中检测人脸MatOfRect faceDetections = new MatOfRect();//eyeDetector2.detectMultiScale(image, faceDetections);Vector<Rect> objects;eyeDetector1.detectMultiScale(image, faceDetections, 2.0,1,1,new Size(20,20),new Size(20,20));Rect[] rects = faceDetections.toArray();Rect eyea,eyeb;eyea = rects[0];eyeb = rects[1];System.out.println("a-中心坐标 " + eyea.x + " and " + eyea.y);System.out.println("b-中心坐标 " + eyeb.x + " and " + eyeb.y);//获取两个人眼的角度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 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));}String filename = "C:\\Users\\Administrator\\Desktop\\opencv\\ouput.png";System.out.println(String.format("Writing %s", filename));Highgui.imwrite(filename, image);// watermark(a,d,"C:\\Users\\Administrator\\Desktop\\opencv\\zzlTm2.jpg",0.7f);//// // 读取图像，不改变图像的原始信息// Mat image1 = Highgui.imread(a);// Mat image2 = Highgui.imread(d);// Mat mat1 = new Mat();Mat mat2 = new Mat();// Size size = new Size(300, 300);// Imgproc.resize(image1, mat1, size);// Imgproc.resize(image2, mat2, size);// Mat mat3 = new Mat(size,CvType.CV_64F);// //Core.addWeighted(mat1, 0.5, mat2, 1, 0, mat3);//// //Highgui.imwrite("C:\\Users\\Administrator\\Desktop\\opencv\\add.jpg", mat3);//// mergeSimple(ImageIO.read(new File(a)),// ImageIO.read(new File(d)),0,0,// new File("C:\\Users\\Administrator\\Desktop\\opencv\\add.jpg"));}}
最终效果：人脸旁有绿色边框，可以将绿色边框图片截取，生成人脸图
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