1. A method, comprising: imaging an object in three dimensions; binning data of the imaged object into three dimensional bins; determining a density value p of the data in each bin; creating receptive fields of three dimensional feature maps, including processing elements O, each processing element O of a same feature map having a same adjustable parameter, weight Wc 1 ; processing the density values p with the processing elements O to determine an output value o for at least each three dimensional location of the imaging of the object having a density value p above a predetermined threshold value; classifying the object by processing the output values o with a committee of classifiers; and communicating the classification of the object.