1. A method, comprising: imaging an object in three dimensions by collecting three-dimensional data points of the object; binning the data points of the imaged object into three dimensional bins having a predetermined three-dimensional size to create a binned scanned object in a three-dimensional space; determining a density value of the data in each of the bins by calculating a number of the data points in each of the bins; creating receptive fields of three dimensional feature maps, including processing elements, each of the processing elements of a same feature map having a same adjustable parameter, which is defined as a weight; generating an output value, by processing the density values with the processing elements, for at least each three dimensional location of the imaging of the object having a density value above a predetermined threshold value; classifying the object by processing the output values with a committee of classifiers, which includes a cascading series of classifiers; and communicating the classification of the object.