Data extraction for machine-learning object recognition from a digital model and testing-data construction

Abstract

A computer-implentable method includes accessing a model file containing a digital 3-D object, calculating at least one dimensional measurement of the object, uniformly scaling the object in the X, Y and Z axes by a predetermined percentage, mirroring the object across the X. Y and Z axes, slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and unrotated state of the infinite plane, generating from the slices points at the edge of a plane object collision, and assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.

What is claimed is: 
     
         1 . A computer-implentable method comprising the steps of:
 accessing a model file containing a digital 3-D object;   calculating at least one dimensional measurement of the object;   uniformly scaling the object in the X, Y and Z axes by a predetermined percentage;   mirroring the object across the X, Y and Z axes;   slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and unrotated state of the infinite plane;   generating from the slices points at the edge of a plane object collision; and   assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.   
     
     
         2 . The method of  claim 1 , wherein the at least one dimensional measurement comprises at least one of an area calculation and a volume calculation. 
     
     
         3 . The method of  claim 1 , further comprising moving the object to origin (0,0,0) in digital space. 
     
     
         4 . The method of  claim 1 , wherein the predetermined percentage comprises at least one of positive 5% and negative 5%. 
     
     
         5 . The method of  claim 1 , further comprising calculating at least one dimensional measurement of the scaled object. 
     
     
         6 . The method of  claim 1 , wherein the rotated state comprises rotation of the infinite plane in the X and Y axes by 45 degrees. 
     
     
         7 . The method of  claim 1 , further comprising exporting the positive and negative values as comma-separated values. 
     
     
         8 . At least one computer-readable medium on which are stored instructions that, when executed by at least one processing device, enable the processing device to perform a method comprising the steps of:
 accessing a model file containing a digital 3-D object;   calculating at least one dimensional measurement of the object;   uniformly scaling the object in the X, Y and Z axes by a predetermined percentage;   mirroring the object across the X, Y and Z axes;   slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and unrotated state of the infinite plane;   generating from the slices points at the edge of a plane object collision; and   assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.   
     
     
         9 . The medium of  claim 8 , wherein the at least one dimensional measurement comprises at least one of an area calculation and a volume calculation. 
     
     
         10 . The medium of  claim 8 , wherein the method further comprises moving the object to origin (0,0,0) in digital space. 
     
     
         11 . The medium of  claim 8 , wherein the predetermined percentage comprises at least one of positive 5% and negative 5%. 
     
     
         12 . The medium of  claim 8 , wherein the method further comprises calculating at least one dimensional measurement of the scaled object. 
     
     
         13 . The medium of  claim 8 , wherein the rotated state comprises rotation of the infinite plane in the X and Y axes by 45 degrees. 
     
     
         14 . The medium of  claim 8 , wherein the method further comprises exporting the positive and negative values as comma-separated values.