  While Buddhism has spread along the Silk Roads, many pieces of art have been
displaced. Only a few experts may identify these works, subjectively to their
experience. The construction of Buddha statues was taught through the
definition of canon rules, but the applications of those rules greatly varies
across time and space. Automatic art analysis aims at supporting these
challenges. We propose to automatically recover the proportions induced by the
construction guidelines, in order to use them and compare between different
deep learning features for several classification tasks, in a medium size but
rich dataset of Buddha statues, collected with experts of Buddhism art history.
