Build Beyond Limits.
Positional Tracking
Positional Tracking precisely maps the environment and estimates the location, position, and orientation of the XR Devices in six degrees of freedom within 3D space. This enables a developer to understand and track the end-user’s position relative to the world. XR content will render in the scene properly relative to the end user’s location, head position, and orientation completing the illusion that the virtual content is a part of the real world.
Snapdragon Spaces: Positional Tracking
Nov 5, 2021 | 0:04
Local Anchors & Persistence
Local Anchors & Persistence enables AR content to be placed in 3D space at a given location, position, and orientation on the map generated through Positional Tracking—and persist them locally over time and through application sessions.
Snapdragon Spaces: Local Anchors and Persistence
Nov 5, 2021 | 0:03
Image Recognition & Tracking
Image Recognition & Tracking enables recognition and tracking of image targets that can trigger the launch of virtual content. This content can be tracked to one or more image targets embedded in the developer’s app or hosted in the Snapdragon Spaces Cloud.
Snapdragon Spaces: Image Recognition and Tracking
Nov 5, 2021 | 0:06
Object Recognition & Tracking
Object Recognition & Tracking enables recognition and tracking of 3D objects with known CAD metadata, or 3D objects that have been pre-scanned by the developer. Objects can trigger the launch of virtual content that can be overlaid on top of the object in 3D and tracked while it is in motion.
Snapdragon Spaces: Object Recognition and Tracking
Nov 5, 2021 | 0:04
Plane Detection
Plane Detection enables the recognition of horizontal and vertical surfaces in a physical environment. This capability enables the developer to anchor their virtual content to these surfaces—including walls, floors, and tables.
Snapdragon Spaces: Plane Detection
Nov 5, 2021 | 0:05
Spatial Mapping & Meshing
Spatial Mapping & Meshing enables the AR Glasses and VR/MR devices to sense depth and reconstruct the physical geometry of the environment in 3D. A triangle mesh overlaid on the geometry in the scene enables spatial computing experiences for users to interact with the physical environment in ways that realistically blur the lines between the physical and digital realities.
Snapdragon Spaces: Spatial Mapping and Meshing
Nov 5, 2021 | 0:05
Occlusion
Occlusion leverages Spatial Mapping & Meshing to enable XR experiences to be occluded by the geometry of the physical space if the virtual content is blocked by a physical object from the perspective / pose of the end users AR Glasses.
Snapdragon Spaces: Occlusion
Nov 5, 2021 | 0:03
Scene Understanding
Scene Understanding enables XR devices to have semantic knowledge about select elements of the physical space. Snapdragon Spaces supports the semantic understanding of floors, walls, and ceilings in a scene.
Snapdragon Spaces: Scene Understanding
Nov 5, 2021 | 0:04
Hand Tracking
Hand tracking enables the recognition, tracking, and meshing of a user’s hands to enable more natural, intuitive, fast, and precise input when interacting with the augmented world without the need for physical controllers.
Snapdragon Spaces: Hand Tracking
Nov 5, 2021 | 0:04
