Abstract: The disclosed computer-implemented method may include acquiring, from a client device within a real-world environment, information representative of the real-world environment, and transmitting the information representative of the real-world environment to a relocalization service. The method may further include receiving, from the relocalization service, (1) an anchor point that may include a mapped position within the real-world environment, and (2) a determined position within the real-world environment of a client device relative to the mapped position of the anchor point. The method may further include sending an identifier of the anchor point to an asset management service, and obtaining, from the asset management service, a digital asset. The method may further include presenting the digital asset at a position within an artificial environment relative to the mapped position of the anchor point. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include acquiring, from a client device within a real-world environment, information representative of the real-world environment, and transmitting the information representative of the real-world environment to a relocalization service. The method may further include receiving, from the relocalization service, (1) an anchor point that may include a mapped position within the real-world environment, and (2) a determined position within the real-world environment of a client device relative to the mapped position of the anchor point. The method may further include sending an identifier of the anchor point to an asset management service, and obtaining, from the asset management service, a digital asset. The method may further include presenting the digital asset at a position within an artificial environment relative to the mapped position of the anchor point. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a method includes determining correspondence data between a sequence of images based on identified features in the sequence of images and predicted pose based on motion data, and determining current state information based on the correspondence data and the motion data. The current state information comprises at least a current pose of the wearable device relative to the environment capture by the one or more cameras. Furthermore, the method comprises receiving map points in a three-dimensional map and their associated descriptors based on the identified features in the sequence of images and identifying one or more of the map points in the sequence of images based on the associated descriptors associated with the map points. The current state information is further determined based on the identified one or more of the map points.

Abstract: In one embodiment, a method includes determining correspondence data between a sequence of images based on identified features in the sequence of images and predicted pose based on motion data, and determining current state information based on the correspondence data and the motion data. The current state information comprises at least a current pose of the wearable device relative to the environment capture by the one or more cameras. Furthermore, the method comprises receiving map points in a three-dimensional map and their associated descriptors based on the identified features in the sequence of images and identifying one or more of the map points in the sequence of images based on the associated descriptors associated with the map points. The current state information is further determined based on the identified one or more of the map points.

Abstract: A photo sensor includes a plurality of pixel blocks, each including one or more anchor pixels and one or more non-anchor pixels. The anchor pixels produce first sensor signals and the non-anchor pixels produce second sensor signals. An amplifier circuit amplifies the first and second sensor signals. A variable bit-depth analog to digital converter (ADC) circuit quantizes amplified versions of the first sensor signals into first digitized sensor signals with a first bit-depth. The ADC circuit also quantizes amplified versions of the second sensor signals into second digitized sensor signals with a second bit-depth that is lower than the first bit depth. The second bit-depth may be selected based on anchor pixel statistics derived from the one or more first digitized sensor signals.

Abstract: The disclosed computer-implemented method may include acquiring, from a client device within a real-world environment, information representative of the real-world environment, and transmitting the information representative of the real-world environment to a relocalization service. The method may further include receiving, from the relocalization service, (1) an anchor point that may include a mapped position within the real-world environment, and (2) a determined position within the real-world environment of a client device relative to the mapped position of the anchor point. The method may further include sending an identifier of the anchor point to an asset management service, and obtaining, from the asset management service, a digital asset. The method may further include presenting the digital asset at a position within an artificial environment relative to the mapped position of the anchor point. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include receiving, from devices in an environment, real-time data associated with the environment and determining, from the real-time data, current object data for the environment. The current object data may include both state data and relationship data for objects in the environment. The method may also include determining object deltas between the current object data and prior object data from an event graph. The prior object data may include prior state data and prior relationship data for the objects. The method may include detecting an unknown state for one of the objects, inferring a state for the object based on the event graph, and updating the event graph based on the object deltas and the inferred state. The method may further include sending updated event graph data to the devices. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include determining a local position and a local orientation of a local device in an environment and receiving, by the local device and from a mapping system, object data for objects within the environment. The object data may include position data and orientation data for the objects and relationship data between the objects. The method may also include deriving, based on the object data received from the mapping system, and the local position and orientation of the local device, a contextual rendering of the objects that provides contextual data that modifies a user's view of the environment. The method may include displaying, using the local device, the contextual rendering of at least one of the plurality of objects to modify the user's view of the environment. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a method includes determining correspondence data between a sequence of images based on identified features in the sequence of images and predicted pose based on motion data, and determining current state information based on the correspondence data and the motion data. The current state information comprises at least a current pose of the wearable device relative to the environment capture by the one or more cameras. Furthermore, the method comprises receiving map points in a three-dimensional map and their associated descriptors based on the identified features in the sequence of images and identifying one or more of the map points in the sequence of images based on the associated descriptors associated with the map points. The current state information is further determined based on the identified one or more of the map points.

Abstract: A photo sensor includes a plurality of pixel blocks, each including one or more anchor pixels and one or more non-anchor pixels. The anchor pixels produce first sensor signals and the non-anchor pixels produce second sensor signals. An amplifier circuit amplifies the first and second sensor signals. A variable bit-depth analog to digital converter (ADC) circuit quantizes amplified versions of the first sensor signals into first digitized sensor signals with a first bit-depth. The ADC circuit also quantizes amplified versions of the second sensor signals into second digitized sensor signals with a second bit-depth that is lower than the first bit depth. The second bit-depth may be selected based on anchor pixel statistics derived from the one or more first digitized sensor signals.

Abstract: The disclosed computer-implemented method may include receiving, from devices in an environment, real-time data associated with the environment and determining, from the real-time data, current object data for the environment. The current object data may include both state data and relationship data for objects in the environment. The method may also include determining object deltas between the current object data and prior object data from an event graph. The prior object data may include prior state data and prior relationship data for the objects. The method may include detecting an unknown state for one of the objects, inferring a state for the object based on the event graph, and updating the event graph based on the object deltas and the inferred state. The method may further include sending updated event graph data to the devices. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include acquiring, from a client device within a real-world environment, information representative of the real-world environment, and transmitting the information representative of the real-world environment to a relocalization service. The method may further include receiving, from the relocalization service, (1) an anchor point that may include a mapped position within the real-world environment, and (2) a determined position within the real-world environment of a client device relative to the mapped position of the anchor point. The method may further include sending an identifier of the anchor point to an asset management service, and obtaining, from the asset management service, a digital asset. The method may further include presenting the digital asset at a position within an artificial environment relative to the mapped position of the anchor point. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include receiving, from devices in an environment, real-time data associated with the environment. The method may also include determining, from the real-time data, current mapping and object data. The current mapping data may include coordinate data for the environment and the current object data may include both state data and relationship data for objects in the environment. The method may also include determining mapping deltas between the current mapping data and baseline map data and determining object deltas between the current object data and an event graph. The event graph may include prior state data and prior relationship data for objects. The method may also include updating the baseline map data and the event graph based on the deltas and sending updated baseline map data and event graph data to the devices. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include receiving, from devices in an environment, real-time data associated with the environment. The method may also include determining, from the real-time data, current mapping and object data. The current mapping data may include coordinate data for the environment and the current object data may include both state data and relationship data for objects in the environment. The method may also include determining mapping deltas between the current mapping data and baseline map data and determining object deltas between the current object data and an event graph. The event graph may include prior state data and prior relationship data for objects. The method may also include updating the baseline map data and the event graph based on the deltas and sending updated baseline map data and event graph data to the devices. Various other methods, systems, and computer-readable media are also disclosed.