Systems and methods for 3D image distification

A computing device configured to Distify 3D imagery, the computing device comprising one or more processors configured to:

• obtain a three dimensional (3D) image, wherein the 3D image includes rules defining a 3D point cloud;
• generate a two dimensional (2D) image matrix based upon the 3D image, wherein the 2D image matrix includes one or more 2D matrix points mapped to the 3D image, and wherein each 2D matrix point has a horizontal coordinate and a vertical coordinate;
• and
• generate an output feature vector as a data structure that includes (1) a first set of values comprising a first horizontal coordinate and a first vertical coordinate of at least one 2D matrix point of the 2D image matrix, and (2) a second set of values comprising a second vertical coordinate, a second horizontal coordinate, and a depth coordinate of a 3D point in the 3D point cloud of the 3D image,
• wherein the second horizontal coordinate and the second vertical coordinate of the 3D point comprise a nearest horizontal and vertical coordinate pair having a nearest distance with respect to a first horizontal and vertical coordinate pair comprised of the first horizontal coordinate and the first vertical coordinate of the at least one 2D matrix point of the 2D image matrix, and
• wherein the output feature vector is input into a predictive model.