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src/main/java/base/ImageCut.java

@@ -2,7 +2,6 @@ package base;
 
 import org.opencv.core.Mat;
 import org.opencv.core.Rect;
-import org.opencv.highgui.HighGui;
 import org.opencv.imgcodecs.Imgcodecs;
 
 import java.io.File;

src/main/java/face/FaceDetector.java

@@ -0,0 +1,82 @@
+package face;
+
+import base.DllLoad;
+import org.opencv.core.Mat;
+import org.opencv.core.MatOfFloat;
+import org.opencv.core.MatOfInt;
+import org.opencv.core.MatOfRect;
+import org.opencv.core.Rect;
+import org.opencv.core.Size;
+import org.opencv.imgcodecs.Imgcodecs;
+import org.opencv.imgproc.Imgproc;
+import org.opencv.objdetect.CascadeClassifier;
+
+import java.io.File;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+public class FaceDetector extends DllLoad {
+
+    public static void main(String[] args) {
+        File file1 = new File("imgs/face/face1.png");
+        File file2 = new File("imgs/face/face2.png");
+        Mat mat1 = Imgcodecs.imread(file1.getAbsolutePath());
+        Mat mat2 = Imgcodecs.imread(file2.getAbsolutePath());
+        List<Mat> mats1 = detectFace(mat1);
+        List<Mat> mats2 = detectFace(mat2);
+
+        for (Mat mat : mats1) {
+//            show(mat);
+        }
+        for (Mat mat : mats2) {
+//            show(mat);
+        }
+
+        Mat hist_1 = new Mat();
+        Mat hist_2 = new Mat();
+        MatOfFloat ranges = new MatOfFloat(0f, 256f);
+        MatOfInt histSize = new MatOfInt(25);
+
+        Imgproc.calcHist(Arrays.asList(mats1.get(0)), new MatOfInt(0),
+                new Mat(), hist_1, histSize, ranges);
+        Imgproc.calcHist(Arrays.asList(mats2.get(0)), new MatOfInt(0),
+                new Mat(), hist_2, histSize, ranges);
+
+        // 直方图相似度
+        double v1 = Imgproc.compareHist(hist_1, hist_2, Imgproc.CV_COMP_CORREL) * 100;
+        double v2 = Imgproc.compareHist(hist_1, hist_2, Imgproc.CV_COMP_INTERSECT);
+
+        System.out.print("相似度：");
+//        System.out.println((v1 + v2) / 2);
+        System.out.println(v1);
+
+        System.exit(0);
+    }
+
+    /**
+     * 提取人脸
+     */
+    public static List<Mat> detectFace(Mat src) {
+        List<Mat> result = new ArrayList<>();
+
+        File haarcascade = new File("imgs/face/haarcascades/haarcascade_frontalface_alt.xml");
+        // 实例化级联分类器
+        CascadeClassifier faceDetector = new CascadeClassifier(haarcascade.getAbsolutePath());
+        // 进行人脸和眼睛的检测
+        // Gray: 要进行检测的人脸图像
+        // scaleFactor: 前后两次扫描中，搜索窗口的比例系数
+        double scaleFactor = 1.2;
+        // minneighbors：目标至少被检测到minNeighbors次才会被认为是目标
+        int minNeighbors = 3;
+        // minsize和maxsize: 目标的最小尺寸和最大尺寸
+        Size minSize = new Size(32, 32);
+        MatOfRect faceDetections = new MatOfRect();
+        faceDetector.detectMultiScale(src, faceDetections, scaleFactor, minNeighbors, 1, minSize);
+        for (Rect rect : faceDetections.toArray()) {
+            Mat mat = new Mat(src, rect);
+            result.add(mat);
+        }
+        return result;
+    }
+}