The present invention provides a method and system for virtual and semi-virtual events and exhibits. The present invention provides the ability for virtual attendees to interact with points of interest and objects within the virtual environment. The present invention also provides exhibitors with analytics that allows the exhibitor to objectively evaluate various aspects of exhibits. The present invention also allows the exhibitors to customize the exhibition experience of individual attendees based on attendee-specific interactions and information.

The subject matter of this specification can be embodied in, among other things, a system that includes a three-dimensional fabricator. An image processing module acquires an image of a rock sample having a network of pores, a transformation module transforms the image into a binary matrix and determine a set of statistical moments of the binary matrix, a layer generation module generates a first representation of a first stochastic layer based on the set and emulative of the rock sample and generates a second representation of a second stochastic layer based on the set and emulative of the rock sample. An arrangement module arranges the first representation and the second representation as adjacent layers of a three-dimensional model emulative of the rock sample, and provides the first representation and the second representation to the 3D fabricator for fabrication as a physical three-dimensional fluid micromodel emulative of the rock sample.

The disclosure provides methods and systems for automatically generating an animatable object, such as a 3D model. In particular, the present technology provides fast, easy, and automatic animatable solutions based on unique facial characteristics of user input. Various embodiments of the present technology include receiving user input, such as a two-dimensional image or three-dimensional scan of a user's face, and automatically detecting one or more features. The methods and systems may further include deforming a template geometry and a template control structure based on the one or more detected features to automatically generate a custom geometry and custom control structure, respectively. A texture of the received user input may also be transferred to the custom geometry. The animatable object therefore includes the custom geometry, the transferred texture, and the custom control structure, which follow a morphology of the face.

An optical measurement system comprises a polarization beam splitter for dividing an incident beam into a reference beam and a measurement beam, a first beam splitter for reflecting the measurement beam to form a first reflected measurement beam, a spatial light modulator for modulating the first reflected measurement beam to form a modulated measurement beam, a condenser lens for focusing the modulated measurement beam to an object to form a penetrating measurement beam, an objective lens for converting the penetrating measurement beam into a parallel measurement beam, a mirror for reflecting the parallel measurement beam to form an object beam, a second beam splitter for reflecting the reference beam to a path coincident with that of the object beam, and a camera for receiving an interference signal generated by the reference beam and the object beam to generate an image of the object.

A method performed by a computer device is configured to generate a three dimensional, 3D, model, the method including obtaining a plurality of two dimensional, 2D, images, the plurality of 2D images, each depicting a 3D object and a background of the 3D object from a different viewing direction, wherein the plurality of 2D images are obtained using a camera, generating a total set of key points for each of the plurality of 2D images, discriminating (530) each total set of key points into a first subset of key points depicting the 3D object and a second subset of key points.

Various example embodiments provide a computing device of an algorithm for reconstructing a three-dimensional (3D) image in consideration of multiple scattering and a method of the same. According to various example embodiments, the computing device may be configured to set a 3D refractive index based on a plurality of 2D images for a specimen and to reconstruct a 3D image for the specimen from the set refractive index using a modified Born expansion considering multiple scattering to converge a calculation result.

A remote monitoring method based on information fusion and virtual reality for marine engine room is disclosed, which comprises five steps: information acquisition; data analysis; feature extraction; data transmission; 3D scenes establishment. This method can monitor not only the conventional working parameters of main equipment in marine engine room, but also static pictures, infrared thermograms, vibration & noise signals, which can monitor accidents in engine room and enhance operators' awareness of autonomous ships; 3D interactive scenes of marine engine room are built and displayed through visual interfaces, which can make up for the lack of operators' attendance in future unmanned ships.

A system and method for making a custom miniature figurine using a 3D scanned image and a pre-sculpted body is described herein. The system includes a database, a server, a computing device, an automated distributed manufacturing system, and a 3D printing apparatus. An application of the computing device utilizes a camera of the computing device to scan a head of a user, create a 3D representation of the head of the user from the scans, combine the 3D representation of the head of the user with a pre-sculpted digital body and/or accessories selected by the user to create a work order, and transmit the work order to the automated distributed manufacturing system. The automated distributed manufacturing system performs digital modeling tasks, assembles a digital model, and transmits the digital model to the 3D printing apparatus. The 3D printing apparatus creates the custom miniature figurine.

Methods and systems for constructing a three-dimensional (3D) model of a user in a virtual environment for full body virtual reality (VR) applications are described. The method includes receiving an image of the user captured using an RGB camera; detecting a body bounding box associated with the user using a first trained neural network; determining a segmentation map of the user, based on the body bounding box; determining a two-dimensional (2D) contour of the user from the segmentation map; forming a 3D extrusion model by extruding the 2D contour; and constructing the 3D model of the user in the virtual environment by applying a geometric transformation to the 3D extrusion model. Applications of full body VR include physical training and fitness sessions, games, control of computing devices, manipulation and display of data, interactive social media with VR, and the like.

In various embodiments, a map inference application automatically maps a user space. A camera is positioned within the user space. In operation, the map inference application determines a path of a first moving object within the user space based on a tracking dataset generated from images captured by the camera. Subsequently, the map inference application infers a walking space within the user space based on the path. The map inference application then generates a model of at least a portion of the user space based on the walking space. One or more movements of a second object within the user space are based on the model. Advantageously, unlike prior art solutions, the map inference application enables a model of a user space to be automatically and efficiently generated based on images from a single stationary camera.