Abstract: 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.

Abstract: A system and method for real-time updating of three-dimensional (3D) building models includes receiving a request to analyze building imagery to detect potential physical changes in or around a first building, receiving the building imagery, the building imagery including one or more images of the building, optionally building a first 3D building model (textured or untextured) based on the building imagery, retrieving, from computer storage, a previously stored version of the first 3D building model, comparing, on a region-by-region basis, the first 3D building model against the previously stored version of the first 3D building model, cataloging in computer storage, based on the comparing, changes to the previously stored version of the first 3D building model, where the changes to the first 3D building model represent physical changes to or around the building occurring since a time of the previous stored version of the 3D building model.

Abstract: A process for receiving, from a computing device, a series of captured building images. The process continues by processing, in real-time, each building image in the series of captured building images to determine if each building image meets a minimum criterion, wherein the minimum criteria includes applicability to be used in constructing a specific digital multi-dimensional building model. The process continues by aggregating each image meeting the minimum criteria, determining when a base set of building images has been aggregated, wherein the base set of building images includes a threshold number images to model at least a partial multi-dimensional building model representing the series of captured building images, determining one or more facades present in the partial multi-dimensional building model, determining preliminary dimensions for one or more architectural features of the one or more facades and returning, incrementally (in real-time), the preliminary dimensions to the computing device.

Abstract: A system and method is provided for generating textured 3D building models from ground-level imagery. Ground-level images for the sides/corners of building objects are collected for identification of key architectural features, corresponding key façade geometry planes, and generation of a 3D building façade geometry. The 3D building model is properly geo-positioned, scaled and textured.

Abstract: Systems and methods are described for adjusting planar geometry derived from point cloud data associated with a building object by identifying major aspects like vertices and edges of the underlying structure within the point cloud and adjusting an average planar fit for simplified geometries created from the point cloud. Combining the planar geometry or point cloud with orthogonal or street level views improves accuracy and use cases of the planar geometry.

Abstract: Systems and methods are disclosed for adjusting plane positions in multi-dimensional models. Disclosed is moving planes associated with an architectural element based on detecting edge position(s) for an architectural element relative to a given plane and reconstructing the model based on the adjusted position(s).

Abstract: Systems and methods are disclosed for directed image capture of a subject of interest, such as a home. Directed image capture can produce higher quality images such as more centrally located within a display and/or viewfinder of an image capture device, higher quality images have greater value for subsequent uses of captured images such as for information extraction or model reconstruction. Graphical guide(s) facilitate content placement for certain positions and quality assessments for the content of interest can be calculated such as for pixel distance of the content of interest to a centroid of the display or viewfinder, or the effect of obscuring objects. Quality assessments can further include instructions for improving the quality of the image capture for the content of interest.

Abstract: Visualizing three dimensional content is complicated by display platforms capable of more degrees of freedom to display the content than interface tools have to navigate that content. Disclosed are methods and systems for displaying select portions of the content and generating virtual camera positions with associated look angles for the select portions, such as planar geometries of a three dimensional building, thereby constraining the degrees of freedom for improved navigation through views of the content. Look angles can be associated with axes of the content and fields of view.

Abstract: Systems and methods are described for adjusting planar geometry derived from point cloud data associated with a building object by identifying major aspects like vertices and edges of the underlying structure within the point cloud and adjusting an average planar fit for simplified geometries created from the point cloud. Combining the planar geometry or point cloud with orthogonal or street level views improves accuracy and use cases of the planar geometry.

Abstract: A process for receiving, from a computing device, a series of captured building images by overlaying, on a capture device display, a selected graphical guide from a set of sequentially related graphical guides. The process continues by capturing, by a capture device, a building image, wherein the capturing is performed during substantial alignment of an image of a selected building object with a corresponding orientation of the selected graphical guide. The process continues by receiving acknowledgement of the building image being captured for the selected graphical guide and the selected building object. The process is repeated for a plurality of building images.

Abstract: A process is provided for graphically guiding a user of a capture device (e.g., smartphone) to more accurately capture a series of images of a building. Images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16) of images from multiple angles and distances. Before capturing an image, a quality of the image may be determined to prevent low quality images from being captured or to provide instructions on how to improve the quality of the image capture. The series of captured images are uploaded to an image processing system to generate a 3D building model that is returned to the user. The returned 3D building model may incorporate scaled measurements of building architectural elements and may include a dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows, doors or roofing.

Abstract: A method and system is provided for automatic generation and navigation of optimal views of facades of multi-dimensional building models based on where and how the original images were captured. The system and method allows for navigation and visualization of facades of individual or multiple building models in a multi-dimensional building model visualization system.

Abstract: A system and method is provided for generating textured building models from wirelessly captured ground-level imagery. Ground-level images of facades of building objects are collected for identification of geometry planes and generation of building façade geometry. The 3D building model is properly geo-positioned, scaled and textured.

Abstract: Systems and methods are disclosed for guiding image capture of a subject by determining a location of the subject and presenting on a display graphical guides representative of perspective views of the subject to be captured. Images of the subject may then be captured and additional graphical guides are presented to the user for display for additional images to be captured. Images may be captured in a predetermined sequence of graphical guides or responsive to a user input or camera information. Captured images may be uploaded to a system for additional processing.

Abstract: Improper positioning of architectural features is corrected during construction or reconstruction of a multi-dimensional (e.g., 3D) building model using known architectural dimensions and known relationships to planes (facades). The system identifies architectural elements that have known architectural standard positions relative to planes within the multi-dimensional model. Dimensional measurements of architectural elements in the multi-dimensional model are used to properly position one or more architectural elements relative to associated planes within the multi-dimensional building model. For example, a window position on a 3D building model first façade is moved inward (offset) according to the known relationship of a window (architectural element) being inset relative to a façade (e.g., exterior wall). In addition, a window frame could be repositioned outwardly relative to the same façade plane based on a known relationship of a frame being located on an external surface of the façade (e.g.

Abstract: Improper positioning of architectural features is corrected during construction or reconstruction of a multi-dimensional (e.g., 3D) building model using known architectural dimensions and known relationships to planes (facades). The system identifies architectural elements that have known architectural standard positions relative to planes within the multi-dimensional model. Dimensional measurements of architectural elements in the multi-dimensional model are used to properly position one or more architectural elements relative to associated planes within the multi-dimensional building model. For example, a window position on a 3D building model first façade is moved inward (offset) according to the known relationship of a window (architectural element) being inset relative to a façade (e.g., exterior wall). In addition, a window frame could be repositioned outwardly relative to the same façade plane based on a known relationship of a frame being located on an external surface of the façade (e.g.

Abstract: A process for receiving, from a computing device, a series of captured building images by overlaying, on a capture device display, a selected graphical guide from a set of sequentially related graphical guides. The process continues by capturing, by a capture device, a building image, wherein the capturing is performed during substantial alignment of an image of a selected building object with a corresponding orientation of the selected graphical guide. The process continues by receiving acknowledgement of the building image being captured for the selected graphical guide and the selected building object. The process is repeated for a plurality of building images.

Abstract: A system and method is provided for generating textured building models from wirelessly captured ground-level imagery. Ground-level images of façades of building objects are collected for identification of geometry planes and generation of building façade geometry. The 3D building model is properly geo-positioned, scaled and textured.

Abstract: A process for receiving, from a computing device, a series of captured building images. The process continues by processing, in real-time, each building image in the series of captured building images to determine if each building image meets a minimum criterion, wherein the minimum criteria includes applicability to be used in constructing a specific digital multi-dimensional building model. The process continues by aggregating each image meeting the minimum criteria, determining when a base set of building images has been aggregated, wherein the base set of building images includes a threshold number images to model at least a partial multi-dimensional building model representing the series of captured building images, determining one or more facades present in the partial multi-dimensional building model, determining preliminary dimensions for one or more architectural features of the one or more facades and returning, incrementally (in real-time), the preliminary dimensions to the computing device.

Abstract: Improper positioning of architectural features is corrected during construction or reconstruction of a multi-dimensional (e.g., 3D) building model using known architectural dimensions and known relationships to planes (facades). The system identifies architectural elements that have known architectural standard positions relative to planes within the multi-dimensional model. Dimensional measurements of architectural elements in the multi-dimensional model are used to properly position one or more architectural elements relative to associated planes within the multi-dimensional building model. For example, a window position on a 3D building model first façade is moved inward (offset) according to the known relationship of a window (architectural element) being inset relative to a façade (e.g., exterior wall). In addition, a window frame could be repositioned outwardly relative to the same façade plane based on a known relationship of a frame being located on an external surface of the façade (e.g.