人脸识别Java代码实现

以下是一个简单的人脸识别Java代码实现示例：

import java.io.File;
import java.io.IOException;

import javax.imageio.ImageIO;

import org.bytedeco.javacpp.Loader;
import org.bytedeco.javacpp.opencv_core.Mat;
import org.bytedeco.javacpp.opencv_face.FaceRecognizer;
import org.bytedeco.javacpp.opencv_face.LBPHFaceRecognizer;
import org.bytedeco.javacpp.opencv_imgcodecs;
import org.bytedeco.javacpp.opencv_imgproc;
import org.bytedeco.javacpp.opencv_core.RectVector;
import org.bytedeco.javacpp.opencv_core.Size;
import org.bytedeco.javacpp.opencv_objdetect.CascadeClassifier;

public class FaceRecognition {
    public static void main(String[] args) throws IOException {
        // 加载OpenCV库
        Loader.load(org.bytedeco.javacpp.opencv_core.class);
        Loader.load(org.bytedeco.javacpp.opencv_imgproc.class);
        Loader.load(org.bytedeco.javacpp.opencv_objdetect.class);
        Loader.load(org.bytedeco.javacpp.opencv_face.class);

        // 加载人脸识别模型
        FaceRecognizer recognizer = LBPHFaceRecognizer.create();
        recognizer.read("model.xml");

        // 加载人脸检测模型
        CascadeClassifier faceDetector = new CascadeClassifier("haarcascade_frontalface_alt.xml");

        // 加载待识别的图片
        Mat image = opencv_imgcodecs.imread("test.jpg");
        Mat grayImage = new Mat();
        opencv_imgproc.cvtColor(image, grayImage, opencv_imgproc.COLOR_BGR2GRAY);
        opencv_imgproc.equalizeHist(grayImage, grayImage);

        // 检测人脸
        RectVector faces = new RectVector();
        faceDetector.detectMultiScale(grayImage, faces, 1.1, 2, 0, new Size(30, 30), new Size());

        // 对每个检测到的人脸进行识别
        for (int i = 0; i < faces.size(); i++) {
            // 裁剪人脸区域
            Mat face = new Mat(grayImage, faces.get(i));

            // 调整人脸大小
            Mat resizedFace = new Mat();
            opencv_imgproc.resize(face, resizedFace, new Size(100, 100));

            // 识别人脸
            int[] label = new int[1];
            double[] confidence = new double[1];
            recognizer.predict(resizedFace, label, confidence);

            // 输出识别结果
            System.out.println("人脸" + (i + 1) + ": 标签=" + label[0] + ", 置信度=" + confidence[0]);
        }

        // 显示原始图片和标注后的图片
        opencv_imgcodecs.imwrite("annotated.jpg", image);
        for (int i = 0; i < faces.size(); i++) {
            opencv_imgproc.rectangle(image, faces.get(i), new org.bytedeco.javacpp.opencv_core.Scalar(0, 255, 0, 0), 2, 8, 0);
        }
        ImageIO.write(opencv_imgcodecs.toBufferedImage(image), "jpg", new File("annotated.jpg"));
    }
}

该示例使用了OpenCV的LBPH人脸识别算法和Haar级联分类器进行人脸检测。首先，需要加载OpenCV库和人脸识别模型。然后，加载待识别的图片并进行灰度化和直方图均衡化处理。接着，使用Haar级联分类器检测人脸，并对每个检测到的人脸进行识别。最后，输出识别结果并在原始图片上标注检测到的人脸。