Android 適用的擴增臉部開發人員指南

瞭解如何在自己的應用程式中使用擴增臉孔功能。

必要條件

請務必先瞭解基本 AR 概念，以及如何設定 ARCore 工作階段，然後再繼續操作。

在 Android 中使用擴增臉孔功能

1. 設定 ARCore 工作階段
2. 取得偵測到的臉孔存取權

設定 ARCore 工作階段

在現有的 ARCore 工作階段中選取前置鏡頭，即可開始使用擴增臉孔。請注意，選取前置鏡頭會造成 ARCore 行為中的許多變更。

Java

// Set a camera configuration that usese the front-facing camera.
CameraConfigFilter filter =
    new CameraConfigFilter(session).setFacingDirection(CameraConfig.FacingDirection.FRONT);
CameraConfig cameraConfig = session.getSupportedCameraConfigs(filter).get(0);
session.setCameraConfig(cameraConfig);

Kotlin

// Set a camera configuration that usese the front-facing camera.
val filter = CameraConfigFilter(session).setFacingDirection(CameraConfig.FacingDirection.FRONT)
val cameraConfig = session.getSupportedCameraConfigs(filter)[0]
session.cameraConfig = cameraConfig

啟用 AugmentedFaceMode：

Java

Config config = new Config(session);
config.setAugmentedFaceMode(Config.AugmentedFaceMode.MESH3D);
session.configure(config);

Kotlin

val config = Config(session)
config.augmentedFaceMode = Config.AugmentedFaceMode.MESH3D
session.configure(config)

臉部網格方向

請注意臉部網格的方向：

存取偵測到的臉孔

為每個影格取得 Trackable。Trackable 是 ARCore 可以追蹤的項目，並可附加錨點。

Java

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

Kotlin

// ARCore's face detection works best on upright faces, relative to gravity.
val faces = session.getAllTrackables(AugmentedFace::class.java)

取得每個 Trackable 的 TrackingState。如果為 TRACKING，則 ARCore 目前已知的姿勢。

Java

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.
  }
}

Kotlin

faces.forEach { face ->
  if (face.trackingState == TrackingState.TRACKING) {
    // UVs and indices can be cached as they do not change during the session.
    val uvs = face.meshTextureCoordinates
    val indices = face.meshTriangleIndices
    // Center and region poses, mesh vertices, and normals are updated each frame.
    val facePose = face.centerPose
    val faceVertices = face.meshVertices
    val faceNormals = face.meshNormals
    // Render the face using these values with OpenGL.
  }
}