Navigation video generation and acquisition methods and apparatuses, a server, a device, and a medium are provided, which relate to the field of navigation technologies. The method includes: receiving, from a terminal, a navigation video obtaining request, the navigation video obtaining request including a route origin and a route destination within an indoor scene; determining, based on the route origin and the route destination, one or more second sub-videos from one or more first sub-videos corresponding to a point of interest (POI) route relationship graph, the POI route relationship graph including a navigation route between at least two POIs in the indoor scene; determining an identifier to a navigation video from the route origin to the route destination based on the one or more second sub-videos; and returning the identifier to the navigation video to the requesting terminal for displaying the navigation video at the terminal.

Systems and methods for generating a video of a user-defined virtual reality scene are disclosed. Exemplary implementations may: obtain a scene definition; obtain camera information for multiple virtual cameras to be used in generating a two-dimensional presentation of the virtual reality scene; execute a simulation of the virtual reality scene from the scene definition for at least a portion of the scene duration; obtain camera timing instructions specifying which of the virtual cameras should be used to generate the two-dimensional presentation of the virtual reality scene as a function of progress through the scene duration; generate the two-dimensional presentation of the virtual reality scene in accordance with the camera timing instructions and the camera information.

A method and system for generating a virtual representation of a physical scene, including receiving scene data corresponding to the physical scene, processing the scene data to determine scene components and scene priors corresponding to the scene components, generating, by a plurality of neural networks, dense geometric representations based at least in part on the scene priors, where each dense geometric representation corresponds to a scene component in the scene components, generating a virtual model of the physical scene based at least in part on the dense geometric representations, and generating a virtual representation of the physical scene based at least in part on the scene data, the virtual representation being aligned with the virtual model.

A method is disclosed, the method comprising the steps of receiving, from a first client application, first graphical data comprising a first node; receiving, from a second client application independent of the first client application, second graphical data comprising a second node; and generating a scenegraph, wherein the scenegraph describes a hierarchical relationship between the first node and the second node.

There is provided an image processing device including: a data storage unit storing feature data indicating a feature of appearance of one or more physical objects; an environment map building unit for building an environment map based on an input image obtained by imaging a real space and the feature data, the environment map representing a position of a physical object present in the real space; a control unit for acquiring procedure data for a set of procedures of operation to be performed in the real space, the procedure data defining a correspondence between a direction for each procedure and position information designating a position at which the direction is to be displayed; and a superimposing unit for generating an output image by superimposing the direction for each procedure at a position in the input image determined based on the environment map and the position information, using the procedure data.

A user interface to a virtual camera for a 3-D rendering application provides various features. A rendering engine can continuously refine the image being displayed through the virtual camera, and the user interface can contain an element for indicating capture of the image as currently displayed, which causes saving of the currently displayed image. Autofocus (AF) and autoexposure (AE) reticles can allow selection of objects in a 3-D scene, from which an image will be rendered, for each of AE and AF. A focal distance can be determined by identifying a 3-D object visible at a pixel overlapped by the AF reticle, and a current viewpoint. The AF reticle can be hidden in response to a depth of field selector being set to infinite depth of field. The AF and AE reticles can be linked and unlinked, allowing different 3-D objects for each of AF and

AE.

Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. The processing may include analyzing the sensor information to identify one or more risk objects, such as animals, pedestrians, potholes, etc. The processing may further include generating a three-dimensional (3D) risk map, which may be displayed to a passenger in the vehicle. The 3D risk map may illustrate the one or more risk objects as one or more point clouds, respectively, within a virtual world representation of the vehicle's surroundings. Such a display may be used to alert drivers to possible risks while driving. In case of an accident, the 3D risk map may also be leveraged by insurance providers to process insurance claims and to notify customers that an insurance claim has been established.

A method and system for providing access to and control of parameters within a scenegraph includes redefining components or nodes' semantic within a scenegraph. The set of components or nodes (depending on the scenegraph structure) are required to enable access from the Application User Interface to selected scenegraph information. In one embodiment, a user interface is generated for controlling the scenegraph parameters. In addition, constraints can be implemented that allow or disallow access to certain scenegraph parameters and restrict their range of values.

An image dataset is processed with a shadow map generated from objects in a virtual scene that can cast shadows and the scene is rendered independent of the shadows. The shadow might be edited separately, and then applied to a post-render image of the scene to form a shadowed image. Light factor values for pixels of the shadow map might be stored as summed-area table values.

A method and system for generating a virtual representation of a physical scene, including receiving scene data corresponding to the physical scene, processing the scene data to determine scene components and scene priors corresponding to the scene components, generating, by a plurality of neural networks, dense geometric representations based at least in part on the scene priors, where each dense geometric representation corresponds to a scene component in the scene components, generating a virtual model of the physical scene based at least in part on the dense geometric representations, and generating a virtual representation of the physical scene based at least in part on the scene data, the virtual representation being aligned with the virtual model.