Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes

We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes share the same salient features that discriminate them from the models of other classes. The main issue is learning these features. We propose a datadriven approach where the best… CONTINUE READING