Apple Inc.

Eclo, Inc.

Ivan Kolesov

Liangjia Zhu

Alex Villanueva

Anselm Grundhoefer

Jean-Charles Bernard Marcel Bazin

Ralf Habel

Brian Chris Clark

Sivalogeswaran Ratnasingam

Krishna Ramamurthi

Various implementations disclosed herein include devices, systems, and methods that provide point identification 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 point. In some implementations, a touching technique is used to identify a 3D position of a point. In some implementations, different point identification techniques are automatically selected and used to identify a 3D position of a point. In some implementations, a 3D position of a point is associated with user input. In some implementations, a 3D position of a point is identified to determine distances, surface areas, or volumes.

Three-dimensional point selection

Implementations of the subject technology provide extended reality display devices that can be used on and/or off of a moving platform. Systems and methods are disclosed for separating out the motion of the moving platform from other motions of the device so that virtual content can be displayed without erroneous motions caused by the motion of the moving platform. The subject technology can provide extended reality settings on any suitable moving platform such as in a car, a watercraft, an aircraft, a train, or any other vehicle.

Extended reality for moving platforms

Various implementations disclosed herein include devices, systems, and methods that obtain sensor data from one or more sensors in a physical environment, and a context is determined based on the sensor data, where the context includes a location of the physical environment and an occurrence of an activity in the physical environment. Camera parameters are selected based on historical parameter data identified based on the context, where the historical parameter data is identified based on camera parameters previously used in the location during prior occurrences of the activity. Then, a camera is configured to capture an image using the selected camera parameters in the location during the occurrence of the activity. In some implementations, the adjusted camera parameters are selected based on context and shared information from a different electronic device regarding camera parameters that were used in the same physical location and during the same activity.

Activity-driven use-case specific camera properties selection

Systems, devices, media, and methods are presented for object modeling using augmented reality. An object modeling mode for generating three-dimensional models of objects is initiated by one or more processors of a device. The processors of the device detect an object within a field of view. Based on a position of the object, the processors select a set of movements forming a path for the device relative to the object and cause presentation of at least one of the movements. The processors detect a set of object surfaces as portions of the object are positioned in the field of view. In response to detecting at least a portion of the object surface, the processors modify a graphical depiction of a portion of the object. The processors then construct a three-dimensional model of the object from the set of images, depth measurements, and IMU readings collected during the reconstruction process.

Augmented reality for three-dimensional model reconstruction

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.

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Mountain View, CA, United States of America

Ivan Kolesov