Abstract: Various implementations disclosed herein include devices, systems, and methods that match image portions of a first set of image portions and image portions of another set of image portions. This may be performed in a such a way that the sum of descriptor distances of the matched image portions is optimized in a globally optimal way. In some implementations, the matching is subject to one or more constraints, e.g., ensuring that each image portion of the first data set is matched with at least one image portion of the second data set and ensuring that each image portion of the second data set is matched with only one image portion of the first data set.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide XR in which virtual objects are positioned based on the accuracy of localizing an electronic device in a physical environment. In some implementations, the technique assesses the accuracy of localization (e.g., centimeter-level accuracy, room-level accuracy, and building-level accuracy) and dynamically adjusts a display strategy. In some implementations, the technique determines a condition causing inaccuracy (e.g., a semantic condition such as “too fast”, “too far”, “too dark”), and provides a notification (e.g., “too fast-slow down”, “too far-move closer”, “too dark-turn on a light”) at the electronic device based on the condition causing the inaccuracy in the localization.

Abstract: In one implementation, a method of changing a state of an object is performed at a device including an image sensor, one or more processors, and non-transitory memory. The method includes receiving a vocal command. The method includes obtaining, using the image sensor, an image of a physical environment. The method includes detecting, in the image of the physical environment, an object based on a visual model of the object stored in the non-transitory memory in association with an object identifier of the object. The method includes generating, based on the vocal command and detection of the object, an instruction including the object identifier of the object. The method includes effectuating the instruction to change a state of the object.

Abstract: Performing a corrective operation for environmental conditions related to a predetermined eye condition includes obtaining environment sensor data from a one or more sensors of the device, determining a current context for the device based on the environment sensor data, and determining, based on the current context, that an eye state criterion is satisfied. In response to determining that the eye state criterion is satisfied, a corrective operation is determined in accordance with the eye state criterion, and the corrective operation is performed. When performed, the corrective operation is configured to resolve an environmental condition associated with the eye state criterion.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide XR in which virtual objects are positioned based on the accuracy of localizing an electronic device in a physical environment. In some implementations, the technique assesses the accuracy of localization (e.g., centimeter-level accuracy, room-level accuracy, and building-level accuracy) and dynamically adjusts a display strategy. In some implementations, the technique determines a condition causing inaccuracy (e.g., a semantic condition such as “too fast”, “too far”, “too dark”), and provides a notification (e.g., “too fast-slow down”, “too far-move closer”, “too dark-turn on a light”) at the electronic device based on the condition causing the inaccuracy in the localization.

Abstract: Techniques for authenticating a user based on hand features includes receiving sensor data of a scene that includes hands, extracting features for at least one of the hands, and determining a first identity associated with the at least one hand based on the extracted features. The user identity may be associated with authentication information such that when a system detects a gesture by the hands, the authentication information is assessed prior to performing an action associated with the gesture. Authenticated users may be used for determining authorized activity for performing an action associated with a gesture, and may be used for collaborative activity among users.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide a visual marker including a plurality of markings arranged in a corresponding plurality of shapes. In some implementations, each marking is formed of a set of sub-markings separated by gaps and arranged according to a respective shape, and the gaps of the plurality of markings are configured to encode data and indicate orientation of the visual marker. In some implementations, the plurality of markings are arranged in a plurality of concentric rings of increasing size. In some implementations, the orientation is encoded in a first set of gaps and data in a second set of gaps of the gaps in the plurality of markings.

Abstract: Various implementations disclosed herein include devices, systems, and methods that match image portions of a first set of image portions and image portions of another set of image portions. This may be performed in a such a way that the sum of descriptor distances of the matched image portions is optimized in a globally optimal way. In some implementations, the matching is subject to one or more constraints, e.g., ensuring that each image portion of the first data set is matched with at least one image portion of the second data set and ensuring that each image portion of the second data set is matched with only one image portion of the first data set.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide XR in which virtual objects are positioned based on the accuracy of localizing an electronic device in a physical environment. In some implementations, the technique assesses the accuracy of localization (e.g., centimeter-level accuracy, room-level accuracy, and building-level accuracy) and dynamically adjusts a display strategy. In some implementations, the technique determines a condition causing inaccuracy (e.g., a semantic condition such as “too fast”, “too far”, “too dark”), and provides a notification (e.g., “too fast-slow down”, “too far-move closer”, “too dark-turn on a light”) at the electronic device based on the condition causing the inaccuracy in the localization.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide measurement techniques for electronic devices such as optical see-through head mounted devices. In some implementations, a line of sight technique is used to identify a 3D position of a measurement point to enable measurement of an object in a 3D environment. In some implementations, different measurement point identification techniques are automatically selected and used to identify a 3D position of a measurement point to enable measurement of an object in a 3D environment. In some implementations, a 3D position of a measurement point is identified to enable measurement of an object in a 3D environment, where the measurement point is identified by selecting from multiple candidates that are determined using different measurement point selection techniques.