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

  • Authors:
  • Cong-Kai Lin;Wen-Kai Tai

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Dong Hwa University. 1, Sec. 2, Da Hsueh Road, Shou-Feng, Hualien 974, Taiwan, ROC;Department of Computer Science and Information Engineering, National Dong Hwa University. 1, Sec. 2, Da Hsueh Road, Shou-Feng, Hualien 974, Taiwan, ROC

  • Venue:
  • Pattern Recognition
  • Year:
  • 2012

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Abstract

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.