public
static
class
Camera.Face
extends Object
| java.lang.Object | |
| ↳ | android.hardware.Camera.Face |
This class was deprecated
in API level 21.
We recommend using the new android.hardware.camera2 API for new
applications.
Information about a face identified through camera face detection.
When face detection is used with a camera, the Camera.FaceDetectionListener returns a
list of face objects for use in focusing and metering.
See also:
Fields | |
|---|---|
public
int |
id
An unique id per face while the face is visible to the tracker. |
public
Point |
leftEye
The coordinates of the center of the left eye. |
public
Point |
mouth
The coordinates of the center of the mouth. |
public
Rect |
rect
Bounds of the face. |
public
Point |
rightEye
The coordinates of the center of the right eye. |
public
int |
score
The confidence level for the detection of the face. |
Public constructors | |
|---|---|
Camera.Face()
Create an empty face. |
|
Inherited methods | |
|---|---|
 From
class
java.lang.Object
| |
int id
An unique id per face while the face is visible to the tracker. If the face leaves the field-of-view and comes back, it will get a new id. This is an optional field, may not be supported on all devices. If not supported, id will always be set to -1. The optional fields are supported as a set. Either they are all valid, or none of them are.
Point leftEye
The coordinates of the center of the left eye. The coordinates are in
the same space as the ones for rect. This is an optional
field, may not be supported on all devices. If not supported, the
value will always be set to null. The optional fields are supported
as a set. Either they are all valid, or none of them are.
Point mouth
The coordinates of the center of the mouth. The coordinates are in
the same space as the ones for rect. This is an optional
field, may not be supported on all devices. If not supported, the
value will always be set to null. The optional fields are supported
as a set. Either they are all valid, or none of them are.
Rect rect
Bounds of the face. (-1000, -1000) represents the top-left of the camera field of view, and (1000, 1000) represents the bottom-right of the field of view. For example, suppose the size of the viewfinder UI is 800x480. The rect passed from the driver is (-1000, -1000, 0, 0). The corresponding viewfinder rect should be (0, 0, 400, 240). It is guaranteed left < right and top < bottom. The coordinates can be smaller than -1000 or bigger than 1000. But at least one vertex will be within (-1000, -1000) and (1000, 1000).
The direction is relative to the sensor orientation, that is, what
the sensor sees. The direction is not affected by the rotation or
mirroring of setDisplayOrientation(int). The face bounding
rectangle does not provide any information about face orientation.
Here is the matrix to convert driver coordinates to View coordinates in pixels.
Matrix matrix = new Matrix(); CameraInfo info = CameraHolder.instance().getCameraInfo()[cameraId]; // Need mirror for front camera. boolean mirror = (info.facing == CameraInfo.CAMERA_FACING_FRONT); matrix.setScale(mirror ? -1 : 1, 1); // This is the value for android.hardware.Camera.setDisplayOrientation. matrix.postRotate(displayOrientation); // Camera driver coordinates range from (-1000, -1000) to (1000, 1000). // UI coordinates range from (0, 0) to (width, height). matrix.postScale(view.getWidth() / 2000f, view.getHeight() / 2000f); matrix.postTranslate(view.getWidth() / 2f, view.getHeight() / 2f);
See also:
Point rightEye
The coordinates of the center of the right eye. The coordinates are
in the same space as the ones for rect.This is an optional
field, may not be supported on all devices. If not supported, the
value will always be set to null. The optional fields are supported
as a set. Either they are all valid, or none of them are.
int score
The confidence level for the detection of the face. The range is 1 to 100. 100 is the highest confidence.
Depending on the device, even very low-confidence faces may be listed, so applications should filter out faces with low confidence, depending on the use case. For a typical point-and-shoot camera application that wishes to display rectangles around detected faces, filtering out faces with confidence less than 50 is recommended.
See also:
Developers