Android中的人脸检测的示例代码（静态和动态）

package com.example.mydetect2; 
import android.os.Bundle; 
import android.app.Activity; 
import android.util.Log; 
import android.view.Menu; 
import android.content.Context;  
import android.graphics.Bitmap;  
import android.graphics.BitmapFactory;  
import android.graphics.Canvas;  
import android.graphics.Color;  
import android.graphics.Paint;  
import android.graphics.PointF;  
import android.media.FaceDetector; //人脸识别的关键类 
import android.media.FaceDetector.Face;  
import android.view.View;  
 
public class MainActivity2 extends Activity { 
 
  @Override 
  protected void onCreate(Bundle savedInstanceState) { 
    super.onCreate(savedInstanceState); 
    //setContentView(R.layout.activity_main_activity2); 
    setContentView(new myView(this));  //使用自建的view来显示 
    Log.i("zhangcheng","MainActivity2 run here"); 
  } 
 
  private class myView extends View{ 
    private int imageWidth, imageHeight; 
    private int numberOfFace = 5;    //最大检测的人脸数 
    private FaceDetector myFaceDetect; //人脸识别类的实例 
    private FaceDetector.Face[] myFace; //存储多张人脸的数组变量 
    float myEyesDistance;      //两眼之间的距离 
    int numberOfFaceDetected;    //实际检测到的人脸数 
    Bitmap myBitmap; 
 
    public myView(Context context){   //view类的构造函数，必须有 
      super(context);  
      BitmapFactory.Options BitmapFactoryOptionsbfo = new BitmapFactory.Options();  
      BitmapFactoryOptionsbfo.inPreferredConfig = Bitmap.Config.RGB_565; //构造位图生成的参数，必须为565。类名+enum 
      myBitmap = BitmapFactory.decodeResource(getResources(), R.drawable.baby, BitmapFactoryOptionsbfo);   
      imageWidth = myBitmap.getWidth();  
      imageHeight = myBitmap.getHeight();  
      myFace = new FaceDetector.Face[numberOfFace];    //分配人脸数组空间 
      myFaceDetect = new FaceDetector(imageWidth, imageHeight, numberOfFace);  
      numberOfFaceDetected = myFaceDetect.findFaces(myBitmap, myFace);  //FaceDetector 构造实例并解析人脸 
      Log.i("zhangcheng","numberOfFaceDetected is " + numberOfFaceDetected); 
    } 
     
    protected void onDraw(Canvas canvas){      //override函数，必有 
      canvas.drawBitmap(myBitmap, 0, 0, null);  //画出位图  
      Paint myPaint = new Paint();  
      myPaint.setColor(Color.GREEN);  
      myPaint.setStyle(Paint.Style.STROKE);  
      myPaint.setStrokeWidth(3);     //设置位图上paint操作的参数 
 
      for(int i=0; i < numberOfFaceDetected; i++){ 
        Face face = myFace[i]; 
        PointF myMidPoint = new PointF();  
        face.getMidPoint(myMidPoint);  
        myEyesDistance = face.eyesDistance();  //得到人脸中心点和眼间距离参数，并对每个人脸进行画框 
        canvas.drawRect(      //矩形框的位置参数 
            (int)(myMidPoint.x - myEyesDistance),  
            (int)(myMidPoint.y - myEyesDistance),  
            (int)(myMidPoint.x + myEyesDistance),  
            (int)(myMidPoint.y + myEyesDistance),  
            myPaint); 
      } 
    } 
  } 
} 

protected Camera mCameraDevice = null;// 摄像头对象实例
private long mScanBeginTime = 0;  // 扫描开始时间
private long mScanEndTime = 0;  // 扫描结束时间
private long mSpecPreviewTime = 0;  // 扫描持续时间
private int orientionOfCamera ;  //前置摄像头layout角度
int numberOfFaceDetected;  //最终识别人脸数目

public void startFaceDetection() { 
    try { 
        mCameraDevice = Camera.open(1);   //打开前置 
        if (mCameraDevice != null) 
          Log.i(TAG, "open cameradevice success! "); 
      } catch (Exception e) {       //Exception代替很多具体的异常 
        mCameraDevice = null; 
        Log.w(TAG, "open cameraFail"); 
        mHandler.postDelayed(r,5000);  //如果摄像头被占用，人眼识别每5秒检测看有没有释放前置 
        return; 
    }  
       
    Log.i(TAG, "startFaceDetection"); 
    Camera.Parameters parameters = mCameraDevice.getParameters(); 
    setCameraDisplayOrientation(1,mCameraDevice);       //设置预览方向  
       
    mCameraDevice.setPreviewCallback(new PreviewCallback(){ 
      public void onPreviewFrame(byte[] data, Camera camera){ 
        mScanEndTime = System.currentTimeMillis();  //记录摄像头返回数据的时间 
        mSpecPreviewTime = mScanEndTime - mScanBeginTime; //从onPreviewFrame获取摄像头数据的时间 
        Log.i(TAG, "onPreviewFrame and mSpecPreviewTime = " + String.valueOf(mSpecPreviewTime)); 
        Camera.Size localSize = camera.getParameters().getPreviewSize(); //获得预览分辨率 
        YuvImage localYuvImage = new YuvImage(data, 17, localSize.width, localSize.height, null); 
        ByteArrayOutputStream localByteArrayOutputStream = new ByteArrayOutputStream(); 
        localYuvImage.compressToJpeg(new Rect(0, 0, localSize.width, localSize.height), 80, localByteArrayOutputStream);  //把摄像头回调数据转成YUV，再按图像尺寸压缩成JPEG，从输出流中转成数组 
        byte[] arrayOfByte = localByteArrayOutputStream.toByteArray(); 
        CameraRelease();  //及早释放camera资源，避免影响camera设备的正常调用 
        StoreByteImage(arrayOfByte); 
      } 
    }); 
 
    mCameraDevice.startPreview();     //该语句可放在回调后面，当执行到这里，调用前面的setPreviewCallback 
    mScanBeginTime = System.currentTimeMillis();// 记录下系统开始扫描的时间 
  } 

public void setCameraDisplayOrientation(int paramInt, Camera paramCamera){ 
    CameraInfo info = new CameraInfo(); 
    Camera.getCameraInfo(paramInt, info); 
    int rotation = ((WindowManager)getSystemService("window")).getDefaultDisplay().getRotation(); //获得显示器件角度 
    int degrees = 0; 
    Log.i(TAG,"getRotation's rotation is " + String.valueOf(rotation)); 
    switch (rotation) { 
      case Surface.ROTATION_0: degrees = 0; break; 
      case Surface.ROTATION_90: degrees = 90; break; 
      case Surface.ROTATION_180: degrees = 180; break; 
      case Surface.ROTATION_270: degrees = 270; break; 
    } 
 
    orientionOfCamera = info.orientation;   //获得摄像头的安装旋转角度 
    int result; 
    if (info.facing == Camera.CameraInfo.CAMERA_FACING_FRONT) { 
      result = (info.orientation + degrees) % 360; 
      result = (360 - result) % 360; // compensate the mirror 
    } else { // back-facing 
      result = (info.orientation - degrees + 360) % 360; 
    } 
    paramCamera.setDisplayOrientation(result); //注意前后置的处理，前置是映象画面，该段是SDK文档的标准DEMO 
  } 

public void StoreByteImage(byte[] paramArrayOfByte){ 
    mSpecStopTime = System.currentTimeMillis(); 
    mSpecCameraTime = mSpecStopTime - mScanBeginTime; 
            
    Log.i(TAG, "StoreByteImage and mSpecCameraTime is " + String.valueOf(mSpecCameraTime)); 
 
    BitmapFactory.Options localOptions = new BitmapFactory.Options(); 
      Bitmap localBitmap1 = BitmapFactory.decodeByteArray(paramArrayOfByte, 0, paramArrayOfByte.length, localOptions); 
      int i = localBitmap1.getWidth(); 
      int j = localBitmap1.getHeight();  //从上步解出的JPEG数组中接出BMP，即RAW->JPEG->BMP 
      Matrix localMatrix = new Matrix(); 
      //int k = cameraResOr; 
      Bitmap localBitmap2 = null; 
      FaceDetector localFaceDetector = null; 
 
    switch(orientionOfCamera){  //根据前置安装旋转的角度来重新构造BMP 
      case 0: 
        localFaceDetector = new FaceDetector(i, j, 1); 
            localMatrix.postRotate(0.0F, i / 2, j / 2); 
            localBitmap2 = Bitmap.createBitmap(i, j, Bitmap.Config.RGB_565); 
        break; 
      case 90: 
        localFaceDetector = new FaceDetector(j, i, 1);  //长宽互换 
            localMatrix.postRotate(-270.0F, j / 2, i / 2); //正90度的话就反方向转270度，一样效果 
            localBitmap2 = Bitmap.createBitmap(i, j, Bitmap.Config.RGB_565); 
        break;            
      case 180: 
        localFaceDetector = new FaceDetector(i, j, 1); 
            localMatrix.postRotate(-180.0F, i / 2, j / 2); 
            localBitmap2 = Bitmap.createBitmap(i, j, Bitmap.Config.RGB_565); 
        break; 
      case 270: 
        localFaceDetector = new FaceDetector(j, i, 1); 
            localMatrix.postRotate(-90.0F, j / 2, i / 2); 
            localBitmap2 = Bitmap.createBitmap(j, i, Bitmap.Config.RGB_565); //localBitmap2应是没有数据的 
        break; 
    } 
 
    FaceDetector.Face[] arrayOfFace = new FaceDetector.Face[1]; 
      Paint localPaint1 = new Paint(); 
      Paint localPaint2 = new Paint(); 
    localPaint1.setDither(true); 
      localPaint2.setColor(-65536); 
      localPaint2.setStyle(Paint.Style.STROKE); 
      localPaint2.setStrokeWidth(2.0F); 
      Canvas localCanvas = new Canvas(); 
      localCanvas.setBitmap(localBitmap2); 
      localCanvas.setMatrix(localMatrix); 
      localCanvas.drawBitmap(localBitmap1, 0.0F, 0.0F, localPaint1); //该处将localBitmap1和localBitmap2关联（可不要？） 
 
    numberOfFaceDetected = localFaceDetector.findFaces(localBitmap2, arrayOfFace); //返回识脸的结果 
      localBitmap2.recycle(); 
      localBitmap1.recycle();  //释放位图资源 
 
    FaceDetectDeal(numberOfFaceDetected); 
  }