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Abstract:
We present an approach to automatically compute the complexity of a
given 3D shape. Previous approaches have made use of geometric
and/or topological properties of the 3D shape to compute
complexity. Our approach is based on shape appearance and estimates
the complexity of a given 3D shape according to how 2D views of the
shape diverge from each other. We use similarity among views of the
3D shape as the basis for our complexity computation. Hence our
approach uses claims from psychology that humans mentally represent
3D shapes as organizations of 2D views and, therefore, mimics how
humans gauge shape complexity. Experimental results show that our
approach produces results that are more in agreement with the human
notion of shape complexity than those obtained using previous
approaches.
