Abstract: Computer systems and methods are described for automatically generating a 3D model, including, with computer processor(s), obtaining geo-referenced images representing the geographic location of a structure containing one or more real façade texture of the structure; locating a geographical position of real façade texture(s) of the structure; selecting base oblique image(s) from the images by analyzing image raster content of the real façade texture depicted in the images with selection logic; analyzing the real façade texture to locate a geographical position of at least one occlusion using pixel pattern recognition of the real façade texture; locating oblique image(s) having an unoccluded image characteristic of the occlusion in the real façade texture; applying the real façade texture to wire-frame data of the structure to create a 3D model of the structure; and applying the unoccluded image characteristic to the real façade texture to remove the occlusion from the real façade texture.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including, with computer processor(s), obtaining geo-referenced images representing the geographic location of a structure containing one or more real façade texture of the structure; locating a geographical position of real façade texture(s) of the structure; selecting base oblique image(s) from the images by analyzing image raster content of the real façade texture depicted in the images with selection logic; analyzing the real façade texture to locate a geographical position of at least one occlusion using pixel pattern recognition of the real façade texture; locating oblique image(s) having an unoccluded image characteristic of the occlusion in the real façade texture; applying the real façade texture to wire-frame data of the structure to create a 3D model of the structure; and applying the unoccluded image characteristic to the real façade texture to remove the occlusion from the real façade texture.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including, with computer processor(s), obtaining geo-referenced images representing the geographic location of a structure containing one or more real façade texture of the structure; locating a geographical position of real façade texture(s) of the structure; selecting base oblique image(s) from the images by analyzing image raster content of the real façade texture depicted in the images with selection logic; analyzing the real façade texture to locate a geographical position of at least one occlusion using pixel pattern recognition of the real façade texture; locating oblique image(s) having an unoccluded image characteristic of the occlusion in the real façade texture; applying the real façade texture to wire-frame data of the structure to create a 3D model of the structure; and applying the unoccluded image characteristic to the real façade texture to remove the occlusion from the real façade texture.

Abstract: Video noise reduction for a video augmented reality system is provided. A head mounted display includes a display unit; a camera for generating frames of display data. A frame store is provided for storing previous frames of displayed information that was sent to the display unit; and a motion processor is provided in communication with the camera, display unit, and the frame store. The motion processor is operable to: identify an area of interest in a current frame of display data; match the area of interest to similar areas in previous frames stored in the frame store; rotate and translate the matched areas of interest from the one or more previous frames stored in the frame store to match the area of interest in the current frame; and average the prior matched areas of interest with the current area of interest to generate a displayed area of interest.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including, with computer processor(s), obtaining geo-referenced images representing the geographic location of a structure containing one or more real façade texture of the structure; locating a geographical position of real façade texture(s) of the structure; selecting base oblique image(s) from the images by analyzing image raster content of the real façade texture depicted in the images with selection logic; analyzing the real façade texture to locate a geographical position of at least one occlusion using pixel pattern recognition of the real façade texture; locating oblique image(s) having an unoccluded image characteristic of the occlusion in the real façade texture; applying the real façade texture to wire-frame data of the structure to create a 3D model of the structure; and applying the unoccluded image characteristic to the real façade texture to remove the occlusion from the real façade texture.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including identifying wire-frame data of a structure within an area of interest; obtaining, using a geographical location of the structure, multiple geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure; locating a geographical position of one or more real façade texture of the structure; selecting one or more base oblique image from the multiple geo-referenced images by analyzing image raster content of the real façade texture depicted in the multiple geo-referenced images with selection logic, the selection logic analyzing at least two factors of each of the multiple geo-referenced images; and, applying the real façade texture of the one or more base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: Video noise reduction for a video augmented reality system is provided. A head mounted display includes a display unit; a camera for generating frames of display data. A frame store is provided for storing previous frames of displayed information that was sent to the display unit; and a motion processor is provided in communication with the camera, display unit, and the frame store. The motion processor is operable to: identify an area of interest in a current frame of display data; match the area of interest to similar areas in previous frames stored in the frame store; rotate and translate the matched areas of interest from the one or more previous frames stored in the frame store to match the area of interest in the current frame; and average the prior matched areas of interest with the current area of interest to generate a displayed area of interest.

Abstract: Video noise reduction for a video augmented reality system is provided. A head mounted display includes a display unit; a camera for generating frames of display data. A frame store is provided for storing previous frames of displayed information that was sent to the display unit; and a motion processor is provided in communication with the camera, display unit, and the frame store. The motion processor is operable to: identify an area of interest in a current frame of display data; match the area of interest to similar areas in previous frames stored in the frame store; rotate and translate the matched areas of interest from the one or more previous frames stored in the frame store to match the area of interest in the current frame; and average the prior matched areas of interest with the current area of interest to generate a displayed area of interest.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including identifying wire-frame data of a structure within an area of interest; obtaining, using a geographical location of the structure, multiple geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure; locating a geographical position of one or more real façade texture of the structure; selecting one or more base oblique image from the multiple geo-referenced images by analyzing image raster content of the real façade texture depicted in the multiple geo-referenced images with selection logic, the selection logic analyzing at least two factors of each of the multiple geo-referenced images; and, applying the real façade texture of the one or more base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including locating a geographical location of a structure using wire-frame data of the structure; obtaining, using the geographical location of the structure, geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure; locating a geographical position of one or more real façade texture of the structure; selecting one or more base oblique image from the geo-referenced images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and applying the real façade texture of the base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: Computer systems and methods are described for automatically generating a 3D model, including locating a geographical location of a structure using wire-frame data of the structure; obtaining, using the geographical location of the structure, geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure; locating a geographical position of one or more real façade texture of the structure; selecting one or more base oblique image from the geo-referenced images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and applying the real façade texture of the base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: Video noise reduction for a video augmented reality system is provided. A head mounted display includes a display unit; a camera for generating frames of display data. A frame store is provided for storing previous frames of displayed information that was sent to the display unit; and a motion processor is provided in communication with the camera, display unit, and the frame store. The motion processor is operable to: identify an area of interest in a current frame of display data; match the area of interest to similar areas in previous frames stored in the frame store; rotate and translate the matched areas of interest from the one or more previous frames stored in the frame store to match the area of interest in the current frame; and average the prior matched areas of interest with the current area of interest to generate a displayed area of interest.

Abstract: A computer system is described for automatically generating a 3D model, including non-transitory computer readable medium storing instructions that when executed by hardware cause it to obtain a series of geographical points regarding a structure within a geographic area; identify a geographic location of the structure; retrieve multiple geo-referenced oblique images representing the geographic location and containing a real façade texture of the structure; locate a geographical position of a real façade texture of the structure; select one or more base oblique image from the multiple oblique images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple oblique images, and, apply the real façade texture of the one or more base oblique image to the series of geographical points of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: A “Layout Optimizer” provides various real-time iterative constraint-satisfaction methodologies that use constraint-based frameworks to generate optimized layouts that map or embed virtual objects into environments. The term environment refers to combinations of environmental characteristics, including, but not limited to, 2D or 3D scene geometry or layout, scene colors, patterns, and/or textures, scene illumination, scene heat sources, fixed or moving people, objects or fluids, etc., any of which may evolve or change over time. A set of parameters are specified or selected for each object. Further, the environmental characteristics are determined automatically or specified by users. Relationships between objects and/or the environment derived from constraints associated with objects and the environment are then used to iteratively determine optimized self-consistent and scene-consistent object layouts.

Abstract: A computer system is described for automatically generating a 3D model, including non-transitory computer readable medium storing instructions that when executed by hardware cause it to obtain a series of geographical points regarding a structure within a geographic area; identify a geographic location of the structure; retrieve multiple geo-referenced oblique images representing the geographic location and containing a real façade texture of the structure; locate a geographical position of a real façade texture of the structure; select one or more base oblique image from the multiple oblique images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple oblique images, and, apply the real façade texture of the one or more base oblique image to the series of geographical points of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: A “Shared Tactile Immersive Virtual Environment Generator” (STIVE Generator) constructs fully immersive shared virtual reality (VR) environments wherein multiple users share tactile interactions via virtual elements that are mapped and rendered to real objects that can be touched and manipulated by multiple users. Generation of real-time environmental models of shared real-world spaces enables mapping of virtual interactive elements to real objects combined with multi-viewpoint presentation of the immersive VR environment to multiple users. Real-time environmental models classify geometry, positions, and motions of real-world surfaces and objects. Further, a unified real-time tracking model comprising position, orientation, skeleton models and hand models is generated for each user. The STIVE Generator then renders frames of the shared immersive virtual reality corresponding to a real-time field of view of each particular user.

Abstract: A computer system is described for automatically generating a 3D model, including hardware and non-transitory computer readable medium accessible by the hardware and storing instructions that when executed by the hardware cause it to obtain wire-frame data of a structure within a geographic area; identify a geographic location of the structure; retrieve multiple geo-referenced oblique images representing the geographic location and containing a real façade texture of the structure; locate a geographical position of a real façade texture of the structure; select one or more base oblique image from the multiple oblique images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple oblique images, and, apply the real façade texture of the one or more base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: Mixed reality social interactions are described. Techniques described herein include determining authentication information associated with a mixed reality display device and determining that a content item is visible in a mixed reality environment associated with the mixed reality display device. In an example, a content item may be determined to be visible based at least in part on content data indicating that the content item is owned by the mixed reality display device and/or has been shared with the mixed reality display device. The content data may also indicate an identification of a content item of the plurality of content items, an owner of the content item, and permissions associated with the content item. The techniques further describe causing a graphical representation of the content item to be presented via a display on the mixed reality display device.

Abstract: A computer system is described for automatically generating a 3D model, including hardware and non-transitory computer readable medium accessible by the hardware and storing instructions that when executed by the hardware cause it to obtain wire-frame data of a structure within a geographic area; identify a geographic location of the structure; retrieve multiple geo-referenced oblique images representing the geographic location and containing a real façade texture of the structure; locate a geographical position of a real façade texture of the structure; select one or more base oblique image from the multiple oblique images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple oblique images, and, apply the real façade texture of the one or more base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Abstract: An “AR Privacy API” provides an API that allows applications and web browsers to use various content rendering abstractions to protect user privacy in a wide range of web-based immersive augmented reality (AR) scenarios. The AR Privacy API extends the traditional concept of “web pages” to immersive “web rooms” wherein any desired combination of existing or new 2D and 3D content is rendered within a user's room or other space. Advantageously, the AR Privacy API and associated rendering abstractions are useable by a wide variety of applications and web content for enhancing the user's room or other space with web-based immersive AR content. Further, the AR Privacy API is implemented using any existing or new web page coding platform, including, but not limited to HTML, XML, CSS, JavaScript, etc., thereby enabling existing web content and coding techniques to be smoothly integrated into a wide range of web room AR scenarios.