Secord et al. also did a perceptual study in which they determined which features were most correlated with user viewpoint preference and built models for viewpoint preference based on this information: http://gfx.cs.princeton.edu/pubs/Secord_2011_PMO/index.php
Interesting. The OP got me thinking along the lines of manually tagging salient features of each model (as well as ranking models by salience, either manually or automatically based on criteria related to the object that the model represents).
