Abstract: A system for modeling a roof structure comprising an aerial imagery database and a processor in communication with the aerial imagery database. The aerial imagery database stores a plurality of stereoscopic image pairs and the processor selects at least one stereoscopic image pair among the plurality of stereoscopic image pairs and related metadata from the aerial imagery database based on a geospatial region of interest. The processor identifies a target image and a reference image from the at least one stereoscopic pair and calculates a disparity value for each pixel of the identified target image to generate a disparity map. The processor generates a three dimensional point cloud based on the disparity map, the identified target image and the identified reference image. The processor optionally generates a texture map indicative of a three-dimensional representation of the roof structure based on the generated three dimensional point cloud.

Abstract: A system for modeling a roof structure comprising an aerial imagery database and a processor in communication with the aerial imagery database. The aerial imagery database stores a plurality of stereoscopic image pairs and the processor selects at least one stereoscopic image pair among the plurality of stereoscopic image pairs and related metadata from the aerial imagery database based on a geospatial region of interest. The processor identifies a target image and a reference image from the at least one stereoscopic pair and calculates a disparity value for each pixel of the identified target image to generate a disparity map. The processor generates a three dimensional point cloud based on the disparity map, the identified target image and the identified reference image. The processor optionally generates a texture map indicative of a three-dimensional representation of the roof structure based on the generated three dimensional point cloud.

Abstract: A system for modeling a roof structure comprising an aerial imagery database and a processor in communication with the aerial imagery database. The aerial imagery database stores a plurality of stereoscopic image pairs and the processor selects at least one stereoscopic image pair among the plurality of stereoscopic image pairs and related metadata from the aerial imagery database based on a geospatial region of interest. The processor identifies a target image and a reference image from the at least one stereoscopic pair and calculates a disparity value for each pixel of the identified target image to generate a disparity map. The processor generates a three dimensional point cloud based on the disparity map, the identified target image and the identified reference image. The processor optionally generates a texture map indicative of a three-dimensional representation of the roof structure based on the generated three dimensional point cloud.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: In one aspect, a method for determining a value for at least one parameter of a configuration of a model, the model associated with structure of which view data has been obtained from at least one x-ray scanning device capable of producing x-ray radiation, the view data being obtained, at least in part, by scanning at least a portion of the structure, wherein the view data is attenuation data of the x-ray radiation attenuated by the structure as a function of view angle about the structure is provided. The method comprises acts of operating on the view data to detect at least one feature in the view data, and determining the value for the at least one parameter of the configuration of the model based, at least in part, on the at least one feature.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: In one aspect, a method and apparatus for determining a value for at least one parameter of a configuration of a model associated with structure of which view data has been obtained including detecting at least one feature in the view data, and determining the value for the at least one parameter of the configuration of the model based at least in part on the at least one feature.

Abstract: In one aspect, a method and apparatus for determining a value for at least one parameter of a configuration of a model associated with structure of which view data has been obtained including detecting at least one feature in the view data, and determining the value for the at least one parameter of the configuration of the model based at least in part on the at least one feature.

Abstract: In one aspect, a method and apparatus for determining a value for at least one parameter of a configuration of a model associated with structure of which view data has been obtained including detecting at least one feature in the view data, and determining the value for the at least one parameter of the configuration of the model based at least in part on the at least one feature.

Abstract: A parallax method of wavelength labeling is based on optical triangulation. A complementary color pattern projected onto the surface is characterized by a continuous variation of the power ratio of two wavelength bands, and the profile can be measured at all points in the field of view. Shifts of the wavelength bands on separate detector arrays correspond to profile deviations. A signal processor calculates a normalized signal that is independent of surface reflectivity and roughness variations; the phase shift of this signal yields depth data from which the surface profile can be mapped.

Abstract: High contrast image data is acquired from metal and other hard surfaces with varying roughness and reflectivity on which characters are impressed by vibrapeening or laser marking. The optical scanner applies normal illumination and a linear photodiode array detects light reflected normal to the surface and within a narrow acceptance angle, so that characters appear dark and the background light. The detector signal is preprocessed to remove nonuniform background variations and yield image data which can be fed to conventional character recognition equipment.

Abstract: Line and edge features on the peripheral segments of a two dimensional data scene are classified by data manipulations in the Hadamard transform domain. One dimensional transform coefficients which uniquely determine the classifications are extracted through weighting by submatrices characteristic of the peripheral segments.

Abstract: A pattern recognition system for determining the angle of line or edge information in video data scenes generates angle information from the values of low order Hadamard transform coefficients. Ridges in the values of the elements of the Hadamard transform matrix of the scene are also searched to locate angle information.

Abstract: A machine for generating sequency ordered Walsh transform coefficients from an input data sequence comprises an ordered cascade of identically configured signal processor modules. Each module receives two sequency ordered transform blocks of Walsh transform co-efficients and by alternately adding and subtracting corresponding elements in those blocks produces the transform co-efficients of next higher order.