System for capturing, characterizing and visualizing lidar and generic image data
First Claim
1. A method of capturing, analyzing and visualizing fundamentally discrete distribution data, into a matrix of data for object and feature extraction, the steps comprising:
- a) reading into a processor data representative of a plurality of data types, by a data capture system;
b) overlaying a control grid over said matrix of data to form a regular matrix comprising a plurality of cells, the plurality of cells having a predetermined resolution;
c) creating a predetermined data search spatial radius from a point in each cell; and
d) capturing data characteristics of said matrix of data using a specified parameter by at least one data variable and representing each data variable at each cell of said regular matrix;
e) outputting said captured data characteristics using data from within said search radius at each cell of said regular matrix.
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Abstract
A system that offers a method of capturing, analyzing, and visualizing a matrix of data for object and feature extraction. This is accomplished by reading a matrix of data represented by a plurality of data types into a processor via a data capture system. The matrix of data is overlaid by a control grid to form a regular matrix having a plurality of cells. A data search spatial radius is created from a point in each cell. Data is then processed from the matrix and certain characteristics are captured and represent each variable in each cell of the matrix, and then output, respectively.
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Citations
19 Claims
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1. A method of capturing, analyzing and visualizing fundamentally discrete distribution data, into a matrix of data for object and feature extraction, the steps comprising:
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a) reading into a processor data representative of a plurality of data types, by a data capture system; b) overlaying a control grid over said matrix of data to form a regular matrix comprising a plurality of cells, the plurality of cells having a predetermined resolution; c) creating a predetermined data search spatial radius from a point in each cell; and d) capturing data characteristics of said matrix of data using a specified parameter by at least one data variable and representing each data variable at each cell of said regular matrix; e) outputting said captured data characteristics using data from within said search radius at each cell of said regular matrix. - View Dependent Claims (2, 3, 4, 5, 6, 12, 13, 14, 15, 16, 17, 18, 19)
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7. A method of capturing, analyzing and visualizing fundamentally discrete distribution data into a matrix of data for object and feature extraction in the steps comprising:
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a) reading into a processor data representative of a plurality of data types, by a data capture system; b) overlaying a control grid over said matrix of data to form a regular matrix comprising a plurality of cells, the plurality of cells having a predetermined resolution; c) creating a predetermined data search spatial radius from a point in each cell; d) capturing data characteristics of said matrix of data by at least one data variable and representing each data variable at each cell of said regular matrix cell; e) outputting said captured data characteristics using data from within said search radius at each cell of said regular matrix; and f) analyzing the output of said captured data variables for signature, object and feature extraction. - View Dependent Claims (8, 9, 10, 11)
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Specification