Abstract: A floorplan modelling method and system. The floorplan modelling method includes receiving 2D images of each corner of an interior space from a camera, generating a corresponding camera position and camera orientation in a 3D coordinate system in the interior space for each 2D image, generating a depth map for each 2D image to estimate depth for each pixel, generating a corresponding edge map for each 2D image, and generating a 3D point cloud for each 2D image using the corresponding depth map and parameters of the camera. The floorplan modelling method includes transforming the 3D point clouds with the corresponding edge map into a 2D space in the 3D coordinate system of the camera, regularizing the 3D point clouds into 2D boundary lines, and generating a 2D plan of the interior space from the boundary lines.

Abstract: An extended reality system and extended reality method for digital twins, in which the digital twin can be a virtual asset of a real asset. The real asset can be a real object. For example, an initiation of an event in relation to the real asset causes the extended reality method to generate one or more predicted virtual states which are predicted to achieve the event in the virtual asset. The event can be initiated through the real asset and through the virtual asset. The extended reality method can receive one or more further real states of the real asset which achieve the event. The extended reality method can generate a reality 3D map in an extended reality application which concurrently displays, in the 3D space, the virtual asset in the one or more predicted virtual states and the real asset in the one or more further real states.

Abstract: A floorplan modelling method and system. The floorplan modelling method includes receiving 2D images of each corner of an interior space from a camera, generating a corresponding camera position and camera orientation in a 3D coordinate system in the interior space for each 2D image, generating a depth map for each 2D image to estimate depth for each pixel, generating a corresponding edge map for each 2D image, and generating a 3D point cloud for each 2D image using the corresponding depth map and parameters of the camera. The floorplan modelling method includes transforming the 3D point clouds with the corresponding edge map into a 2D space in the 3D coordinate system of the camera, regularizing the 3D point clouds into 2D boundary lines, and generating a 2D plan of the interior space from the boundary lines.

Abstract: A floorplan modelling method and system. The floorplan modelling method includes receiving 2D images of each corner of an interior space from a camera, generating a corresponding camera position and camera orientation in a 3D coordinate system in the interior space for each 2D image, generating a depth map for each 2D image to estimate depth for each pixel, generating a corresponding edge map for each 2D image, and generating a 3D point cloud for each 2D image using the corresponding depth map and parameters of the camera. The floorplan modelling method includes transforming the 3D point clouds with the corresponding edge map into a 2D space in the 3D coordinate system of the camera, regularizing the 3D point clouds into 2D boundary lines, and generating a 2D plan of the interior space from the boundary lines.

Abstract: A method and system for positioning, viewing, and sharing virtual content is provided. The method includes determining a geospatial position of the mobile device capable of determining its geospatial location. Once the geospatial position is determined content within range of the geospatial location of the mobile device is requested from a content store. A content thumbnail corresponding to the content from the content store is retrieved and then presented on the mobile device.

Abstract: An object and camera localization system and localization method for mapping of the real world. The mapping can be done in real-time or near real-time to the detection of the real objects by a camera device which is used to capture one or more images of an object. The localization method can be used to generate an object label of the object and a bounding box of the object in the image. The localization method can be used to generate anchor points in real world coordinates of the real 3D space of the object, a cuboid of the object, and a centroid of the cuboid. A virtual 3D map can be generated that which includes the location and pose of the real object in the real-world coordinates.

Abstract: In accordance with example embodiments, the method and system for film previsualization provides users with real-time previsualization guidance. In accordance with example embodiments, the method includes scanning a set using a mobile camera system; setting a master shot position in the set; tagging a position of one or more subjects within the set; calculating one or more camera positions based on the position of the master shot and the position of the one or more subjects; and displaying on the display of the mobile camera system the location of the one or more camera positions on a map of the set. In accordance with example embodiments, the method further includes overlaying selected composition guides over a camera live view on the display of the mobile camera system.

Abstract: In accordance with example embodiments, the method and system for film previsualization provides users with real-time previsualization guidance. In accordance with example embodiments, the method includes scanning a set using a mobile camera system; setting a master shot position in the set; tagging a position of one or more subjects within the set; calculating one or more camera positions based on the position of the master shot and the position of the one or more subjects; and displaying on the display of the mobile camera system the location of the one or more camera positions on a map of the set. In accordance with example embodiments, the method further includes overlaying selected composition guides over a camera live view on the display of the mobile camera system.

Abstract: A method and system for positioning, viewing, and sharing virtual content is provided. The method includes determining a geospatial position of the mobile device capable of determining its geospatial location. Once the geospatial position is determined content within range of the geospatial location of the mobile device is requested from a content store. A content thumbnail corresponding to the content from the content store is retrieved and then presented on the mobile device.

Abstract: An imaging system comprises four image sensors each pointing outwardly from the vertices of a notional tetrahedron with the optical axes of the image sensors substantially collinear with respective medians of the notional tetrahedron, with the focal plane array of each image sensor positioned between the lens system of its respective image sensor and the centroid of the notional tetrahedron. The imaging system and can be used to obtain image data for generating a spherical image of the space surrounding the imaging system. A method for generating a spherical image from this image data assigns spherical coordinates to the pixels in the images according to a cylindrical projection that is individually aligned with the image plane of each image, and blends overlapping pixels and fills blank pixel spaces. The method can be applied to image data representing outward views from the vertices or centroids of faces of any Platonic solid.

Abstract: An imaging system comprises four image sensors each pointing outwardly from the vertices of a notional tetrahedron with the optical axes of the image sensors substantially collinear with respective medians of the notional tetrahedron, with the focal plane array of each image sensor positioned between the lens system of its respective image sensor and the centroid of the notional tetrahedron. The imaging system and can be used to obtain image data for generating a spherical image of the space surrounding the imaging system. A method for generating a spherical image from this image data assigns spherical coordinates to the pixels in the images according to a cylindrical projection that is individually aligned with the image plane of each image, and blends overlapping pixels and fills blank pixel spaces. The method can be applied to image data representing outward views from the vertices or centroids of faces of any Platonic solid.