Abstract: A system and method is provided for constructing a labeled and dimensioned multi-dimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.

Abstract: A system and method is provided for identifying scale, scale error, or improper positioning during construction or reconstruction of a multi-dimensional (e.g., 3D) building model using known architectural dimensions. The system identifies architectural elements that have known architectural standard dimensions. Dimensional measurements (or dimensional ratios) of architectural elements in the multi-dimensional model (poorly scaled) are compared with known architectural standard dimensions, with or without scale error, to properly scale, rescale or position one or more planes within the multi-dimensional building model.

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 system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D building) model using known architectural dimensions. The system identifies architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.

Abstract: A method and system is provided for automatic generation and navigation of optimal views of facades of multi-dimensional building models. 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 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 facade geometry planes, and generation of a 3D building facade geometry. The 3D building model is properly geo-positioned, scaled and textured.

Abstract: A process for graphically guiding a user of a capture device (e.g., smartphone) to more accurately and completely capture a series of ground-level images of a building. Ground-level images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16 for an entire building) of ground level images from multiple angles and/or distances. The series of captured ground level images may be uploaded to an image processing system to create a 3D building model and returned to the user or processed locally. 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 or doors.

Abstract: A system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D) building model using street-level imagery. Street-level imagery is used to identify architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional building model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.

Abstract: A system and method is provided for generating textured 3D building models from ground-level and orthogonal imagery. Ground-level images for the sides of building objects are collected to form a 3D dense point cloud for identification of key architectural features, corresponding key façade geometry planes, and generation of a 3D building façade geometry. Orthogonal images are correlated to the 3D building model providing a properly geo-positioned, scaled and textured 3D building model.

Abstract: A method and system is provided for automatic generation and navigation of optimal views of facades of 3D building models in an interactive three-dimensional (3D) map system. The system and method allows for navigation and visualization of facades of building models in a 3D building model visualization system through optimal views of facades.

Abstract: A system and method is provided for scaling and constructing a multi-dimensional (e.g., 3D) building model using ground-level imagery. Ground-level imagery is used to identify architectural elements that have known architectural standard dimensional ratios. Dimensional ratios of architectural elements in the multi-dimensional building model (unscaled) are compared with known architectural standard dimensional ratios to scale and construct an accurate multi-dimensional building model.

Abstract: A system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D) building model using street-level imagery. Street-level imagery is used to identify architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional building model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.

Abstract: A method and system is provided for automatic generation and navigation of optimal views of facades of 3D building models in an interactive three-dimensional (3D) map system. The system and method allows for navigation and visualization of facades of building models in a 3D building model visualization system through optimal views of facades.

Abstract: A system and method is provided for generating textured 3D building models from ground-level and orthogonal imagery. Ground-level images for the sides of building objects are collected to form a 3D dense point cloud for identification of key architectural features, corresponding key façade geometry planes, and generation of a 3D building façade geometry. Orthogonal images are correlated to the 3D building model providing a properly geo-positioned, scaled and textured 3D building model.

Abstract: A geospatially accurate 3D model of a building or collection of buildings is used to communicate any type of geo-specific information by way of uniquely recognizable visual or non-visual highlighting such as color or texture coded building visualizations on rooftops or other objects within the 3D model.

Abstract: A method of operating a three-dimensional (3D) map system including: receiving an image and a geo-location tag of the image; determining a building model for a physical building corresponding to an object captured in the image based on the geo-location tag; mapping, on a region-by-region basis, the image to a stored facade of the building model; and mapping, on a pixel-by-pixel basis, the image to the stored facade of the building model for displaying the image as a new facade of the building.