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AR point cloud manager
The point cloud manager is a type of trackable manager.
The point cloud manager creates point clouds, which are sets of feature points. A feature point is a specific point in the point cloud which the device uses to determine its location in the world. Feature points are typically notable features in the environment that the device can track between frames, such as a knot in a wooden table.
A point cloud is a set of feature points that can change from frame to frame. Some platforms only produce one point cloud, while others organize their feature points into different point clouds in different areas of space.
A point cloud is considered a trackable, while individual feature points are not. However, feature points can be uniquely identified between frames as they have unique identifiers.
Feature point properties
Each feature point has a position, and optionally an identifier and confidence value. These are stored as parallel arrays of Vector3, ulong, and float, respectively.
Position
Each feature point has a 3D position, reported in session space. You can access positions via ARPointCloud.positions.
Identifier
Each feature point can have a unique identifier, represented as a ulong. You can access identifiers via ARPointCloud.identifiers.
This array is parallel to positions. This feature varies by provider. Check the ARPointCloudManager.descriptor.
Confidence value
Feature points can also have confidence values, represented as floats in the 0..1 range. You can access confidence values via ARPointCloud.confidenceValues.
This array is parallel to positions. This feature varies by provider. Check the SubsystemDescriptor (ARPointCloud.descriptor).