Google is committed to advancing racial equity for Black communities. See how.

Augmented Faces developer guide for Android

Learn how to use the Augmented Faces feature in your own apps.

Using Augmented Faces in Android

  1. Configure the ARCore session
  2. Get access to the detected face

Configure the ARCore session

Initialize the session with FRONT_CAMERA. Note that selecting the front camera will cause a number of changes in ARCore behavior.

session = new Session(this, EnumSet.of(Session.Feature.FRONT_CAMERA))

Enable AugmentedFaceMode:

Config config = new Config(session);

Face mesh orientation

Note the orientation of the face mesh:

Access the detected face

Get a Trackable for each frame. A Trackable is something that ARCore can track and that Anchors can be attached to.

// ARCore's face detection works best on upright faces, relative to gravity.
Collection<AugmentedFace> faces = session.getAllTrackables(AugmentedFace.class);

Get the TrackingState for each Trackable. TrackingState.TRACKING gets all of the information stored in any given Trackable. for (AugmentedFace face : faces) { if (face.getTrackingState() == TrackingState.TRACKING) { // UVs and indices can be cached as they do not change during the session. FloatBuffer uvs = face.getMeshTextureCoordinates(); ShortBuffer indices = face.getMeshTriangleIndices(); // Center and region poses, mesh vertices, and normals are updated each frame. Pose facePose = face.getCenterPose(); FloatBuffer faceVertices = face.getMeshVertices(); FloatBuffer faceNormals = face.getMeshNormals(); // Render the face using these values with OpenGL } }