最近用到人脸识别技术,有个需求是多人脸图片的时候需要一个一个把人脸裁剪出来,以便获取人脸的图片,从而用其获取单人脸的特征:效果如如:(有链接demo)
https://download.csdn.net/download/qq_38355313/10438863
裁剪前
裁剪后
上班时间关系,不多做解释,直接贴代码
private static BitmapFactory.Options BitmapFactoryOptionsbfo;
private static ByteArrayOutputStream out;
private static byte[] data;
private static FaceDetector.Face[] myFace;
private static FaceDetector myFaceDetect;
private static int tx = 0;
private static int ty = 0;
private static int bx = 0;
private static int by = 0;
private static int width = 0;
private static int height = 0;
private static float wuchax = 0;
private static float wuchay = 0;
private static FaceDetector.Face face;
private static PointF myMidPoint;
private static float myEyesDistance;
private static List<String> facePaths;
private static String facePath;
public static List<String> cutFace(Bitmap bitmap, Context context) {
facePaths = null;
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
out = new ByteArrayOutputStream();
bitmap.compress(Bitmap.CompressFormat.JPEG, 100, out);
data = out.toByteArray();
bitmap = BitmapFactory.decodeByteArray(data, 0, data.length,
BitmapFactoryOptionsbfo);
try {
out.flush();
out.close();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
width = bitmap.getWidth();
height = bitmap.getHeight();
myFace = new FaceDetector.Face[5]; // 分配人脸数组空间
myFaceDetect = new FaceDetector(bitmap.getWidth(), bitmap.getHeight(), 5);
int numberOfFaceDetected = myFaceDetect.findFaces(bitmap, myFace);
if (numberOfFaceDetected <= 0) {// FaceDetector构造实例并解析人脸
bitmap.recycle();
return null;
}
facePaths = new ArrayList<String>();
for (int i = 0; i < numberOfFaceDetected; i++) {
face = myFace[i];
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
wuchax = myEyesDistance / 2 + myEyesDistance;
wuchay = myEyesDistance * 2 / 3 + myEyesDistance;
if (myMidPoint.x - wuchax < 0) {//判断左边是否出界
tx = 0;
} else {
tx = (int) (myMidPoint.x - wuchax);
}
if (myMidPoint.x + wuchax > width) {//判断右边是否出界
bx = width;
} else {
bx = (int) (myMidPoint.x + wuchax);
}
if (myMidPoint.y - wuchay < 0) {//判断上边是否出界
ty = 0;
} else {
ty = (int) (myMidPoint.y - wuchay);
}
if (myMidPoint.y + wuchay > height) {//判断下边是否出界
by = height;
} else {
by = (int) (myMidPoint.y + wuchay);
}
try {
facePath = saveBitmapN(Bitmap.createBitmap(bitmap, tx, ty, bx - tx, by - ty));
} catch (Exception e) {
e.printStackTrace();
facePath = null;
}
if (facePath != null) {
facePaths.add(facePath);
}
}
bitmap.recycle();
return facePaths;
}