Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device.

Abstract: A method for representing virtual information in a view of a real environment comprises providing a virtual object having a global position and orientation with respect to a geographic global coordinate system, with first pose data on the global position and orientation of the virtual object, in a database of a server, taking an image of a real environment by a mobile device and providing second pose data as to at which position and with which orientation with respect to the geographic global coordinate system the image was taken. The method further includes displaying the image on a display of the mobile device, accessing the virtual object in the database and positioning the virtual object in the image on the basis of the first and second pose data, manipulating the virtual object or adding a further virtual object, and providing the manipulated virtual object with modified first pose data or the further virtual object with third pose data in the database.

Abstract: In some implementations a neural network is trained to perform a main task using a clustering constraint, for example, using both a main task training loss and a clustering training loss. Training inputs are inputted into a main task neural network to produce output labels predicting locations of the parts of the objects in the training inputs. Data from pooled layers of the main task neural network is inputted into a clustering neural network. The main task neural network and the clustering neural network are trained based on a main task loss from the main task neural network and a clustering loss from the clustering neural network. The main task loss is determined by comparing differences between the output labels and the training labels. The clustering loss encourages the clustering network to learn to label the parts of the objects individually, e.g., to learn groups corresponding to the object parts.

Abstract: A turbomachine has a housing with at least one flow channel, an impeller which is arranged in the housing, and a drive motor. The drive motor is used to drive the impeller in order to suction a fluid into the housing through the at least one flow channel and/or to convey the fluid out of the housing through the at least one flow channel. The housing is produced by an additive manufacturing process. Further disclosed is a turbomachine in which the impeller is produced in an injection molding method and is molded directly onto the rotor of a drive motor designed as an external rotor motor.

Abstract: A device for administering a fluid product includes a first housing part with a receiver for the product, a second housing part detachably connectable to the first housing part, a piston rod held such that it can be displaced for the exertion of an emptying movement, an actuatable or releasable drive element for the piston rod, a coupling element including a coupling input element that couples the drive element to the piston rod in a coupling engagement, transmits a driving force of the drive element to the piston rod, and triggers the emptying movement, and a decoupling element displaceably connected to the second housing part and coupled to the first housing part such that it is displaced, by a movement of the housing parts in relation to each other when the housing parts are separated into a decoupling position wherein the piston rod is decoupled from the coupling input element.

Abstract: An AR system that leverages a pre-generated 3D model of the world to improve rendering of 3D graphics content for AR views of a scene, for example an AR view of the world in front of a moving vehicle. By leveraging the pre-generated 3D model, the AR system may use a variety of techniques to enhance the rendering capabilities of the system. The AR system may obtain pre-generated 3D data (e.g., 3D tiles) from a remote source (e.g., cloud-based storage), and may use this pre-generated 3D data (e.g., a combination of 3D mesh, textures, and other geometry information) to augment local data (e.g., a point cloud of data collected by vehicle sensors) to determine much more information about a scene, including information about occluded or distant regions of the scene, than is available from the local data.

Abstract: An apparatus, method, and computer readable medium related to determining the position of a device, for example determining the pose of a camera. Varying embodiments discuss the use of sensors and captured images to construct an environment property map, which provides reference information in the form of environment properties that are associated with positions, such as camera poses. Embodiments of the disclosure discuss using the environment property map online (e.g. in real time) in order to determine the position of a device. In some embodiments, the environment property map provides a coarse position that is used to refine or limit the necessary work for determining a more precise position.

Abstract: An exemplary process for identifying a type of a physical environment amongst a plurality of types of physical environments is provided. The process includes obtaining, using the one or more cameras, image data corresponding to a physical environment. The process further includes identifying at least one portion of an entity in the physical environment based on the image data; determining, based on the identified at least one portion of the entity, whether the entity is an entity of a first type; determining a type of the physical environment if the entity is an entity of the first type; and presenting one or more virtual objects and a representation of the entity.

Abstract: Various implementations disclosed herein include devices, systems, and methods that detect surfaces and reflections in such surfaces. Some implementations involve providing a CGR environment that includes virtual content that replaces the appearance of a user or the user's device in a mirror or other surface providing a reflection. For example, a CGR environment may be modified to include a reflection of the user that does not include the device that the user is holding or wearing. In another example, the CGR environment is modified so that virtual content, such as a newer version of the electronic device or a virtual wand, replaces the electronic device in the reflection. In another example, the CGR environment is modified so that virtual content, such as a user avatar, replaces the user in the reflection.

Abstract: Various implementations disclosed herein include devices, systems, and methods that detect surfaces and reflections in such surfaces. Some implementations involve providing a CGR environment that includes virtual content that replaces the appearance of a user or the user's device in a mirror or other surface providing a reflection. For example, a CGR environment may be modified to include a reflection of the user that does not include the device that the user is holding or wearing. In another example, the CGR environment is modified so that virtual content, such as a newer version of the electronic device or a virtual wand, replaces the electronic device in the reflection. In another example, the CGR environment is modified so that virtual content, such as a user avatar, replaces the user in the reflection.

Abstract: A method for representing virtual information in a view of a real environment comprises providing a virtual object having a global position and orientation with respect to a geographic global coordinate system, with first pose data on the global position and orientation of the virtual object, in a database of a server, taking an image of a real environment by a mobile device and providing second pose data as to at which position and with which orientation with respect to the geographic global coordinate system the image was taken. The method further includes displaying the image on a display of the mobile device, accessing the virtual object in the database and positioning the virtual object in the image on the basis of the first and second pose data, manipulating the virtual object or adding a further virtual object, and providing the manipulated virtual object with modified first pose data or the further virtual object with third pose data in the database.

Abstract: In one implementation, a method includes: identifying a plurality of plot-effectuators and a plurality of environmental elements within a scene associated with a portion of video content; determining one or more spatial relationships between the plurality of plot-effectuators and the plurality of environmental elements within the scene; synthesizing a representation of the scene based at least in part on the one or more spatial relationships; extracting a plurality of action sequences corresponding to the plurality of plot-effectuators based at least in part on the portion of the video content; and generating a corresponding synthesized reality (SR) reconstruction of the scene by driving a plurality of digital assets, associated with the plurality of plot-effectuators, within the representation of the scene according to the plurality of action sequences.

Abstract: An apparatus, method, and computer readable medium related to determining the position of a device, for example determining the pose of a camera. Varying embodiments discuss the use of sensors and captured images to construct an environment property map, which provides reference information in the form of environment properties that are associated with positions, such as camera poses. Embodiments of the disclosure discuss using the environment property map online (e.g. in real time) in order to determine the position of a device. In some embodiments, the environment property map provides a coarse position that is used to refine or limit the necessary work for determining a more precise position.

Abstract: Various implementations disclosed are for detecting moving objects that are in a field of view of a head-mountable device (HMD). In various implementations, the HMD includes a display, an event camera, a non-transitory memory, and a processor coupled with the display, the event camera and the non-transitory memory. In some implementations, the method includes synthesizing a first optical flow characterizing one or more objects in a field of view of the event camera based on depth data associated with the one or more objects. In some implementations, the method includes determining a second optical flow characterizing the one or more objects in the field of view of the event camera based on event image data provided by the event camera. In some implementations, the method includes determining that a first object of the one or more objects is moving based on the first optical flow and the second optical flow.

Abstract: In one implementation, a method includes: obtaining a user input to view SR content associated with video content; if the video content includes a first scene when the user input was detected: obtaining first SR content for a first time period of the video content associated with the first scene; obtaining a task associated with the first scene; and causing presentation of the first SR content and a first indication of the task associated with the first scene; and if the video content includes a second scene when the user input was detected: obtaining second SR content for a second time period of the video content associated with the second scene; obtaining a task associated with the second scene; and causing presentation of the second SR content and a second indication of the task associated with the second scene.

Abstract: The invention relates to a method for ergonomically representing virtual information in a real environment, including the following steps: providing at least one view of a real environment and of a system setup for blending in virtual information for superimposing with the real environment in at least part of the view, the system setup comprising at least one display device, ascertaining a position and orientation of at least one part of the system setup relative to at least one component of the real environment, subdividing at least part of the view of the real environment into a plurality of regions comprising a first region and a second region, with objects of the real environment within the first region being placed closer to the system setup than objects of the real environment within the second region, and blending in at least one item of virtual information on the display device in at least part of the view of the real environment, considering the position and orientation of said at least one part of t

Abstract: A radial turbomachine has a first housing part and a second housing part, which jointly form and delimit a flow channel. The first housing part forms a motor chamber for accommodating a drive motor, and the second housing part forms a gas inlet. Furthermore, a radial impeller is provided, which can be driven about an axis of rotation by the drive motor in order to suction a gas from outside the turbomachine through the gas inlet into the flow channel and to convey said gas out of the flow channel through a gas outlet to the outside. The first housing part or the second housing part forms the gas outlet at a radial distance from the axis of rotation and peripherally delimits the gas outlet.

Abstract: An exemplary process for identifying a type of a physical environment amongst a plurality of types of physical environments is provided. The process includes obtaining, using the one or more cameras, image data corresponding to a physical environment. The process further includes identifying at least one portion of an entity in the physical environment based on the image data; determining, based on the identified at least one portion of the entity, whether the entity is an entity of a first type; determining a type of the physical environment if the entity is an entity of the first type; and presenting one or more virtual objects and a representation of the entity.

Abstract: In one implementation, a method includes: obtaining a user input to view SR content associated with video content; if the video content includes a first scene when the user input was detected: obtaining first SR content for a first time period of the video content associated with the first scene; obtaining a task associated with the first scene; and causing presentation of the first SR content and a first indication of the task associated with the first scene; and if the video content includes a second scene when the user input was detected: obtaining second SR content for a second time period of the video content associated with the second scene; obtaining a task associated with the second scene; and causing presentation of the second SR content and a second indication of the task associated with the second scene.