A computer-implemented method and system for pre-fetching place page data from a from a remote mapping system for display on a client computing device is disclosed. User preference data collected from various data sources including applications executing on the client device, online or local user profiles, and other sources may be analyzed to generate a request for place page data from the remote mapping system. The user preference data may indicate a map feature such as a place of business, park, or historic landmark having the characteristics of both a user's preferred geographic location and the user's personal interests. For example, where the user indicates a geographic preference for “Boston” and a personal interest for “home brewing” the system and method may request place page data for all home brewing or craft beer-related map features near Boston.

An industrial vehicle management system includes: a receiving unit that acquires operational information specifying a position and an operational state of each of a plurality of industrial vehicles; a symbol combining unit that, based on the operational information received by the receiving unit, superimposes and combines upon a map symbols showing the position of each of the industrial vehicles; a display control unit that displays upon a display device a map image that has been superimposed and combined by the symbol combining unit; and a symbol processing unit that changes display formats of the symbols according to the operational state.

Time-of flight camera system and methods for automated dermatological cryospray treatments are disclosed herein. A method of controlling a skin cooling treatment system including a mechanical arm with a cryospray applicator coupled to a distal end of the mechanical arm, can include receiving a point cloud generated from a portion of skin of a patient for receiving a skin cooling treatment and generating a polygon mesh surface representative of the portion of skin of the patient from the point cloud. The polygon mesh surface can include a plurality of linked vertices. The method can include generating waypoints and delivery vectors based on the polygon mesh surface, linking the waypoints to form a treatment path, and delivering a skin treatment to the portion of skin according to the treatment path.

Systems and methods for reconstructing 3D models of human bodies from 2D images that counts for perspective and/or distortion effects are provided. The systems and methods include reconstructing a three-dimensional model of an object in a three-dimensional scene from a two-dimensional image comprising an image of the object. The systems and methods include determining an absolute depth of a key point of the object in the image; determining, using the absolute depth of the key point, a three-dimensional position of the key point in the three-dimensional scene; generating, using a neural network, a three-dimensional representation of the object, the three-dimensional representation comprising mesh nodes defined in a coordinate system relative to the key point; and positioning the three-dimensional representation of the object in the scene based on the position of the key point by applying a position dependent rotation to the three-dimensional object.

Systems and methods are disclosed for processing images to determine a modified image The method may include receiving profile data associated with a subject, the profile data comprising three-dimensional image data corresponding to at least a portion of a torso of the subject. A three-dimensional model may be determined based on the profile data, and a breast volume model may be determined based on the three dimensional model.

Described herein are platforms, systems, media, and methods for measuring a space by launching an active augmented reality (AR) session on a device comprising a camera and at least one processor; calibrating the AR session by establishing a fixed coordinate system, receiving a position and orientation of one or more horizontal or vertical planes in the space in reference to the fixed coordinate system, and receiving a position and orientation of the camera in reference to the fixed coordinate system; constructing a backing model; providing an interface allowing a user to capture at least one photo of the space during the active AR session; extracting camera data from the AR session for the at least one photo; extracting the backing model from the AR session; and storing the camera data and the backing model in association with the at least one photo.

Data are maintained in a distributed computing system that describe a graph. The graph represents relationships among items. The graph has a plurality of vertices that represent the items and a plurality of edges connecting the plurality of vertices. At least one vertex of the plurality of vertices includes a set of label values indicating the at least one vertex's strength of association with a label from a set of labels. The set of labels describe possible characteristics of an item represented by the at least one vertex. At least one edge of the plurality of edges includes a set of label weights for influencing label values that traverse the at least one edge. A label propagation algorithm is executed for a plurality of the vertices in the graph in parallel for a series of synchronized iterations to propagate labels through the graph.

In an information processing method executed by an information processing device having a processor, the processor executes generating a first image in raster format using a generative adversarial network that includes a generator and a discriminator, converting the first image into a second image in vector format, inputting a third image obtained by converting the second image into raster format, or the second image, to the discriminator, and acquiring discrimination results, and storing the second image in a storage unit, if the discrimination results are true, or if the discrimination results are the same as discrimination results by the discriminator regarding the first image.

Disclosed are a method, an apparatus, a device and a storage medium for reconstructing a 3D model from 2D images, comprising: obtaining two-dimensional images respectively corresponding to at least two viewing angles of a three-dimensional object; and inputting the two-dimensional images respectively corresponding to the at least two viewing angles into a set neural network for information fusion and 3D model reconstruction so as to obtain a 3D model of the three-dimensional object.

Systems and methods for reconstructing 3D models of human bodies from 2D images that counts for perspective and/or distortion effects are provided. The systems and methods include reconstructing a three-dimensional model of an object in a three-dimensional scene from a two-dimensional image comprising an image of the object. The systems and methods include determining an absolute depth of a key point of the object in the image; determining, using the absolute depth of the key point, a three-dimensional position of the key point in the three-dimensional scene; generating, using a neural network, a three-dimensional representation of the object, the three-dimensional representation comprising mesh nodes defined in a coordinate system relative to the key point; and positioning the three-dimensional representation of the object in the scene based on the position of the key point by applying a position dependent rotation to the three-dimensional object.