Automatic upright orientation and good view recognition for 3D man-made models

Many graphics applications require that 3D models automatically be presented upright and from a good view. We propose a method that simultaneously recognizes upright orientation and good view for 3D man-made models. The strategy is to determine the best base on which a 3D model can stand upright from a small set of candidate bases. Every candidate base is composed of clustered facets of the simplified convex hull of the given 3D model. Next, a proposed UV-measurement selects the best base from the candidate bases using weighted feature-based evaluation functions based on geometrical, physical, and visual aspects. Our method has been tested using a public 3D model database and compared with previous methods. As experimental results show, our method outperforms previous work in both efficiency and accuracy.

► The first paper to solve the upright orientation and good view for 3D man-made models simultaneously.
► UV-measurement aggregates weighted feature-based evaluation functions from geometrical, physical, and visual aspects.
► Our method outperforms previous work in both efficiency and accuracy.