适用于 Android 的增强人脸开发者指南

了解如何在您自己的应用中使用增强人脸功能。

前提条件

确保您了解 AR 基础概念 以及如何在继续之前配置 ARCore 现场录像。

在 Android 中使用增强人脸

1. 配置 ARCore 会话
2. 获取对检测到的面孔的访问权限

配置 ARCore 会话

在现有 ARCore 会话中选择前置摄像头，以开始使用增强人脸功能。请注意，选择前置摄像头 会导致许多更改 对 ARCore 行为的影响。

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

启用 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)

人脸网格方向

请注意面网格的方向：

访问检测到的面孔

获取 Trackable 每个帧。Trackable 是 ARCore 可以跟踪的内容， 可附加锚点。

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)

获取 TrackingState Trackable如果值为 TRACKING， 那么 ARCore 目前就可以知道其位置方向。

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.
  }
}