Android OpenCV 人脸识别 Opencv3.1

只是一个简单的demo。只能检测人脸，识别率很低，以后还要实现人脸的识别，认出你是谁。以后补充。。。

1.配置环境

参考之前的文章

http://blog.csdn.net/aaron121314/article/details/53465547

2.布局

    android:layout_width="fill_parent"    android:layout_height="fill_parent"    android:id="@+id/HelloOpenCvView" />

3.权限

android:name="android.permission.CAMERA"/>android:name="android.hardware.camera" android:required="false"/>android:name="android.hardware.camera.autofocus" android:required="false"/>android:name="android.hardware.camera.front" android:required="false"/>android:name="android.hardware.camera.front.autofocus" android:required="false"/>

4.初始化

private CameraBridgeViewBase mOpenCvCameraView;

@Overrideprotected void onCreate(Bundle savedInstanceState) {    super.onCreate(savedInstanceState);    setContentView(R.layout.activity_main);    getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);    mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.HelloOpenCvView);    mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);    mOpenCvCameraView.setCvCameraViewListener(this);}

@Overrideprotected void onResume() {    super.onResume();    OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, this, mLoaderCallback);}

private BaseLoaderCallback  mLoaderCallback = new BaseLoaderCallback(this) {    @Override    public void onManagerConnected(int status) {        switch (status) {            case LoaderCallbackInterface.SUCCESS:            {                try {                    // load cascade file from application resources                    InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);                    File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);                    mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.xml");                    FileOutputStream os = new FileOutputStream(mCascadeFile);                    byte[] buffer = new byte[4096];                    int bytesRead;                    while ((bytesRead = is.read(buffer)) != -1) {                        os.write(buffer, 0, bytesRead);                    }                    is.close();                    os.close();                    mJavaDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath());                    if (mJavaDetector.empty()) {                        mJavaDetector = null;                    }                    cascadeDir.delete();                } catch (IOException e) {                    e.printStackTrace();                }                mOpenCvCameraView.enableView();            } break;            default:            {                super.onManagerConnected(status);            } break;        }    }};

到这里就可以显示Camera的画面了。

lbpcascade_frontalface.xml 这个人脸训练数据。用来检测人脸的。

5.检测人脸

实现这个listener

public class MainActivity extends AppCompatActivity implements CameraBridgeViewBase.CvCameraViewListener2

@Overridepublic void onCameraViewStarted(int width, int height) {    mGray = new Mat();    mRgba = new Mat();

mRgbaT=new Mat();

} @Override public void onCameraViewStopped() { mGray.release() ; mRgba.release() ;

mRgbaT.release();

}

   @Override    public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {        mRgba = inputFrame.rgba();        mGray = inputFrame.gray();        Core.transpose(mRgba,mRgbaT); //转置函数，可以水平的图像变为垂直        Imgproc.resize(mRgbaT,mRgba, mRgba.size(), 0.0D, 0.0D, 0); //将转置后的图像缩放为mRgbaF的大小        Core.flip(mRgba, mRgba,0); //根据x,y轴翻转，0-x 1-y        Core.transpose(mGray,mRgbaT); //转置函数，可以水平的图像变为垂直        Imgproc.resize(mRgbaT,mGray, mGray.size(), 0.0D, 0.0D, 0); //将转置后的图像缩放为mRgbaF的大小        Core.flip(mGray, mGray,0); //根据x,y轴翻转，0-x 1-y        if (mAbsoluteFaceSize == 0) {            int height = mGray.rows();            if (Math.round(height * mRelativeFaceSize) > 0) {                mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);            }        }        MatOfRect faces = new MatOfRect();            if (mJavaDetector != null)                mJavaDetector.detectMultiScale(mGray, faces, 1.1, 2, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE                        new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());        Rect[] facesArray = faces.toArray();        for (int i = 0; i < facesArray.length; i++) {            Log.i("a","face "+facesArray[i]);            Imgproc.rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), FACE_RECT_COLOR, 3);        }        return mRgba;    }}

然后去检测人脸。

注意：我在测试的时候，preview画面的被旋转了90度，所以这样要把图像弄正。2个参数都要旋转，mGray也要选择，要不画面是正的，但是检测不到人脸。

Core.transpose(mRgba,mRgbaT); //转置函数，可以水平的图像变为垂直Imgproc.resize(mRgbaT,mRgba, mRgba.size(), 0.0D, 0.0D, 0); //将转置后的图像缩放为mRgbaF的大小Core.flip(mRgba, mRgba,0); //根据x,y轴翻转，0-x 1-yCore.transpose(mGray,mRgbaT); //转置函数，可以水平的图像变为垂直Imgproc.resize(mRgbaT,mGray, mGray.size(), 0.0D, 0.0D, 0); //将转置后的图像缩放为mRgbaF的大小Core.flip(mGray, mGray,0); //根据x,y轴翻转，0-x 1-y

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