Abstract: A process for receiving, from a computing device, a series of captured building images and processing, in real-time, each building image in the series of captured building images to determine if the building image meets a minimum threshold for quality. The process continues, for each building image meeting the minimum threshold for quality, by returning a first quality indication to the computing device and for each building image not meeting the minimum threshold for quality, by returning a second quality indication to the computing device. When a complete set of quality building images has been received, the process continues by creating at least a partial multi-dimensional building model based at least partially on the complete set of quality building images.

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 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: An image capture system provides automated prompts for aiding a user in capturing images for use in 3D model creation. While a user is preparing to capture an image, the system provides visual indications that indicate whether a quality-based condition is satisfied. Based on the visual indications, a user can determine whether an image, if captured, would likely be suitable for use in creating a 3D model. Determining if the quality-based condition is satisfied may include monitoring output generated by one or more sensors and comparing the output against a threshold value. Additionally, the system may analyze the visual content or metadata associated with an image to determine if the quality-based condition is satisfied and request user input to further identify certain image features that were identified by the system.

Abstract: A system is provided including a database that ingests data from disparate image sources, with a variety of image metadata types and qualities, and manages images geospatially through the creation and continued refinement of camera solutions for each data object included. These camera solutions are calculated and refined by the database as additional data enters the system that could affect the solutions, through a combination of the application of image metadata towards image processing methods and the use of optical-only computer vision techniques. The database continually generates data quality metrics and relevant imagery and geometry analytics, which drive future collection tasking, system analytics, and human quality control requirements.

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 are 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 positions relative to planes within the multi-dimensional model. Dimensional measurements 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 system and method are 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 positions relative to planes within the multi-dimensional model. Dimensional measurements 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 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 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 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 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: Imagery is used to identify architectural elements that have known architectural patterns. Feature sets associated with a surface and architectural elements in a building model image are compared with known architectural standards of materials to determine the surface building materials and architectural details of a textured building model. In addition, specific texture patterns can assist final material selections for a repair/replacement.

Abstract: A process is provided for guiding a capture device (e.g., smartphone, tablet, drone, etc.) to capture a series of images of a building. Images are captured as the camera device moves around the building—taking a plurality of images (e.g., video) from multiple angles and distances. 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 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 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 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.