A computing system may include a client device and a server. The client device may be configured to access a stream of image frames that depict an environment, determine, from the stream of image frames, environment images that satisfy selection criteria, and transmit the environment images to the server. The server may be configured to receive the environment images from the client device, construct a spatial view of the environment based on position data included with the environment images, and navigate the spatial view, including by receiving a movement direction and progressing from a current environment image depicted for the spatial view to a next environment image based on the movement direction.

Embodiments provide systems and methods for three-dimensional building generation from machine learning and topological models. The method uses topology models that are converted into vertices and edges. A BGAN (Building generative adversarial network) is used to create fake vertices/edges. The BGAN is then used to generate random samples from seen sample of different structures of building based on relationship of vertices and edges. The embeddings are then fed into a machine trained network to create a digital structure from the image.

Described herein are a system and methods for efficiently using depth and image information for a space to generate a 3D representation of that space. In some embodiments, an indication of one or more points is received with respect to image information, which is then mapped to corresponding points within depth information. A boundary may then be calculated to be associated with each of the points based on the depth information at, and surrounding, each point. Each of the boundaries are extended outward until junctions are identified as bounding the boundaries in a direction. The system may determine whether the process is complete or not based on whether any of the calculated boundaries are currently unlimited in extent in any direction. Once the system determines that each of the boundaries is limited in extent, a 3D representation of the space may be generated based on the identified junctions and/or boundaries.

The present invention discloses a system and method for simulating radio frequency (RF) signal propagation through a plurality of mediums using a plurality of configurable digital representations of building information model in two dimensional (2D) or augmented reality (AR) or virtual reality (VR) environments. The system comprising: a client interface, a processor and a memory. The processor comprising a building information model (BIM) generation unit, RF equipment conversion unit and a RF propagation prediction unit. The BIM generation unit is configured to translate 2D graphics into BIM data-sets, by reference to administrator input, to act as one or more parameters to control a generation of 2D or AR or VR environments. The RF equipment conversion unit is configured to transform adjunct data related to a physical configuration of one or more RF equipment into data models. The RF propagation prediction unit is configured to utilize the one or more parameters and the transformed data related to the physical configuration of the one or more RF equipment for simulating the RF signal propagation pattern predictions through the plurality of mediums.

The present disclosure discloses a photography-based 3D modeling system and method, and an automatic 3D modeling apparatus and method, including: (S1) attaching a mobile device and a camera to the same camera stand; (S2) obtaining multiple images used for positioning from the camera or the mobile device during movement of the stand, and obtaining a position and a direction of each photo capture point, to build a tracking map that uses a global coordinate system; (S3) generating 3D models on the mobile device or a remote server based on an image used for 3D modeling at each photo capture point; and (S4) placing the individual 3D models of all photo capture points in the global three-dimensional coordinate system based on the position and the direction obtained in S2, and connecting the individual 3D models of multiple photo capture points to generate an overall 3D model that includes multiple photo capture points.

A computer implemented networking system and method for content-creating, sharing, and archiving, includes maintaining profiles for a plurality of users each having an account that stores and displays user-authored content posts that are quality controlled, and generating, for each user profile, a virtual structure (e.g. building or house) displayed via a UI, and including a main room and a plurality of sub-rooms each being associated with a respective category, and wherein the main room provides navigation to the sub-rooms. The approach includes generating the user-authored content posts for each of the users via posting templates that prompt a user to input and organize various content based upon the template guidance for the respective category to control the quality of the user-authored content posts. A prompting tool operates within the virtual building for each profile by displaying prompts within each of the sub-rooms and related to the respective category and includes a prioritized list of user tasks.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Techniques are described for computing devices to perform automated operations related to using images acquired in a building as part of generating a floor plan for the building, in some cases without using depth information from depth-sensing equipment about distances from the images' acquisition locations to objects in the surrounding building, and for subsequent use in further automated manners, such as controlling navigation of mobile devices and/or for display to end users in a corresponding GUI (graphical user interface). In some cases, the MIGM system interacts with an MIGM system operator user, such as by displaying a GUI showing information related to the images and/or a floor plan being generated, and by receiving and using input submitted by the user via the GUI to assist with the generating of the floor plan, such as to specify interconnections between particular rooms via particular inter-room wall openings of the rooms.

Document spaces are used for intermediate technical documents created for a model with a displayed 3D model view. A document space is a finite volume having a location in the global three-dimensional coordinate system of the model and a reference to a technical document. A displayed document space in the displayed model view illustrates where one or more model parts, or corresponding pieces of model parts, which are included in the technical document, locate.