整个项目的结构图
2.编写DetectFaceDemo.java,代码如下：
[java] view plaincopy
package com.njupt.zhb.test
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.highgui.Highgui
import org.opencv.objdetect.CascadeClassifier
//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
public void run() {
System.out.println("\nRunning DetectFaceDemo")
System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath())
// Create a face detector from the cascade file in the resources
// directory.
//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath())
//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath())
//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
/*
* Detected 0 faces Writing faceDetection.png libpng warning: Image
* width is zero in IHDR libpng warning: Image height is zero in IHDR
* libpng error: Invalid IHDR data
*/
//因此，我们将第一个字符去掉
String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1)
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath)
Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1))
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect()
faceDetector.detectMultiScale(image, faceDetections)
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length))
// Draw a bounding box around each face.
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))
}
// Save the visualized detection.
String filename = "faceDetection.png"
System.out.println(String.format("Writing %s", filename))
Highgui.imwrite(filename, image)
}
}
3.编写测试类：
[java] view plaincopy
package com.njupt.zhb.test
public class TestMain {
public static void main(String[] args) {
System.out.println("Hello, OpenCV")
// Load the native library.
System.loadLibrary("opencv_java246")
new DetectFaceDemo().run()
}
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png
1、首先导入模块dlib模块安装其实是比较繁琐的，要认真耐心点，可以参考dlib安装。2、其次提取人脸特征编码，并获取到人脸五官的位置。
3、最后按步骤敲代码即可为全部代码，即可完成。
基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。
