Abstract: A system and method for generating multi-3D perspective floor plans having real-life physical characteristics. The multi-3D perspective floor plans may be generated using image data and related to a floor plan of a structure.

Abstract: Image capture systems including a moving platform; an image capture device having a sensor for capturing an image, the image having pixels, mounted on the moving platform; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the image immediately after the image is captured by scanning the image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically and immediately causing a re-shoot of the image.

Abstract: A computerized system is disclosed. The computer system executes software that receives a geographic location having one or more coordinates of a roof, receives a validation of the location of the roof, and generates unmanned aircraft information based on the one or more coordinates of the validated location. The unmanned aircraft information includes an offset from the roof to direct an unmanned aircraft to fly an autonomous flight path above the roof, and camera control information to direct a camera of the unmanned aircraft to capture images of the roof at a predetermined time interval while the unmanned aircraft is flying the flight path. The computer system receives images of the roof captured by the camera while the unmanned aircraft is flying the autonomous flight path and generates a structure report for the roof based at least in part on the images.

Abstract: Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).

Abstract: Systems and methods for creating oblique-mosaic image(s) for geographical area(s) are disclosed, including a computer system running software that when executed causes the system to create a mathematical model of a sensor of a virtual camera having an elevation greater than an elevation of a desired geographical area to be imaged, the mathematical model having an oblique-mosaic pixel map; determine surface locations for pixels included in the oblique-mosaic pixel map; select source oblique images of the surface locations of the pixels captured at an oblique angle and compass direction similar to an oblique angle and compass direction of the virtual camera; and reproject source oblique image pixels for pixels included in the oblique-mosaic pixel map such that reprojected pixels have differing sizes determined by matching projections from the virtual camera so as to present an oblique appearance, and thereby create the oblique-mosaic image of the desired geographical area.

Abstract: Systems and methods are disclosed including a computerized system, comprising: a computer system running image display and analysis software that when executed by the computer system causes the computer system to: display an oblique image; reference positional data for the oblique image; create a ground plane for the oblique image, the ground plane comprising a plurality of facets, the facets conforming to a topography of an area captured within the oblique image; receive a selection of at least two pixels within the oblique image; and calculate a desired measurement using the selection of the at least two pixels and the ground plane, the desired measurement taking into account changes within the topography of the area captured within the oblique image.

Abstract: The present disclosure describes systems and processes, including processes in which first location data is received. Visual access to a first image corresponding to the first location data is provided, the first image including a roof structure of a building. A first computer input capable of signaling a designation from the user of a building roof structure location within the first image is provided. A designation of the building roof structure location within the first image is received. Responsive to receiving the designation of the building roof structure location, a second computer input capable of signaling user-acceptance of the building roof structure location within the first image is provided. Subsequent to receiving the user-acceptance confirming the designation of the building roof structure location, a report of the roof structure is provided.

Abstract: A system and method for generating multi-3D perspective floor plans having real-life physical characteristics. The multi-3D perspective floor plans may be generated using image data and related to a floor plan of a structure.

Abstract: A method for creating image products includes the following steps. Image data and positional data corresponding to the image data are captured and processed to create geo-referenced images. Edge detection procedures are performed on the geo-referenced images to identify edges and produce geo-referenced, edge-detected images. The geo-referenced, edge-detected images are saved in a database. A user interface to view and interact with the geo-referenced image is also provided such that the user can consistently select the same Points of Interest between multiple interactions and multiple users.

Abstract: Automated methods and systems are disclosed, including a method comprising: obtaining a first three-dimensional-data point cloud of a horizontal surface of an object of interest, the first three-dimensional-data point cloud having a first resolution and having a three-dimensional location associated with each point in the first three-dimensional-data point cloud; capturing one or more aerial image, at one or more oblique angle, depicting at least a vertical surface of the object of interest; analyzing the one or more aerial image with a computer system to determine three-dimensional locations of additional points on the object of interest; and updating the first three-dimensional-data point cloud with the three-dimensional locations of the additional points on the object of interest to create a second three-dimensional-data point cloud having a second resolution greater than the first resolution of the first three-dimensional-data point cloud.

Abstract: Using remote image acquisition, image processing, and computational systems and methods, it has become possible to obtain actual building dimensions that can be used to generate construction estimates for repairing or maintaining buildings. For example, actual roof dimensions can be used to provide a computer-based estimate of materials and/or materials overage needed. Instead of simply applying a generic overage percentage based on roof shape, a computer-based approach can take into account cut lines as a percentage of total roof area. The resulting computer-generated estimate is shown to be more accurate, less expensive, and faster than using a human on-site estimator.

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: Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Abstract: Automated methods and systems for feature extraction are disclosed, including automated methods performed by at least one processor running computer executable instructions stored on at least one non-transitory computer readable medium, comprising determining and isolating an object of interest within a point cloud; forming a modified point cloud having one or more data points with first location coordinates of the object of interest; and generating a boundary outline having second location coordinates of the object of interest using spectral analysis of at least one section of at least one image identified with the first location coordinates and depicting the object of interest.

Abstract: A method of automatically transforming a computerized 3D model having regions of images utilized as textures on one or more physical objects represented in the 3D model (such as building sides and roofs, walls, landscapes, mountain sides, trees and the like) to include material property information for one or more regions of the textures of the 3D model. In this method, image textures applied to the 3D model are examined by comparing, utilizing a computer, at least a portion of each image texture to entries in a palette of material entries. The material palette entry that best matches the one contained in the image texture is assigned to indicate a physical material of the physical object represented by the 3D model. Then, material property information is stored in the computerized 3D model for the image textures that are assigned a material palette entry.

Abstract: Image capture systems including a moving platform; an image capture device having a sensor for capturing an image, the image having pixels, mounted on the moving platform; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the image immediately after the image is captured by scanning the image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically and immediately causing a re-shoot of the image.

Abstract: The present disclosure describes systems and processes, including processes in which first location data is received. Visual access to a first image corresponding to the first location data is provided, the first image including a roof structure of a building. A first computer input capable of signaling a designation from the user of a building roof structure location within the first image is provided. A designation of the building roof structure location within the first image is received. Responsive to receiving the designation of the building roof structure location, a second computer input capable of signaling user-acceptance of the building roof structure location within the first image is provided. Subsequent to receiving the user-acceptance confirming the designation of the building roof structure location, a report of the roof structure is provided.

Abstract: A method for creating image products includes the following steps. Image data and positional data corresponding to the image data are captured and processed to create geo-referenced images. Edge detection procedures are performed on the geo-referenced images to identify edges and produce geo-referenced, edge-detected images. The geo-referenced, edge-detected images are saved in a database. A user interface to view and interact with the geo-referenced image is also provided such that the user can consistently select the same Points of Interest between multiple interactions and multiple users.

Abstract: Systems and methods are disclosed including a computerized system, comprising: a computer system running image display and analysis software that when executed by the computer system causes the computer system to: display an oblique image; reference positional data for the oblique image; create a ground plane for the oblique image, the ground plane comprising a plurality of facets, the facets conforming to a topography of an area captured within the oblique image; receive a selection of at least two pixels within the oblique image; and calculate a desired measurement using the selection of the at least two pixels and the ground plane, the desired measurement taking into account changes within the topography of the area captured within the oblique image.

Abstract: Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to divide an oblique aerial image into a plurality of sections having different color distributions, choose a first reference aerial image, having a consistent color distribution, for the first section, color-balance at least one pixel in the first section of the oblique aerial image, such that the first color distribution of the first section matches the consistent color distribution of the first reference aerial image, by performing color-balancing transformations for color bands for each of the at least one pixel in the first section.