Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.patcog.2011.10.022 | Pattern Recognition |
Keywords | Field | DocType |
convex hull,best base,good view,good view recognition,model database,candidate base,previous method,man-made model,upright orientation,previous work,automatic upright orientation | Graphics,Computer vision,Pattern recognition,Convex hull,Artificial intelligence,Small set,Mathematics | Journal |
Volume | Issue | ISSN |
45 | 4 | 0031-3203 |
Citations | PageRank | References |
2 | 0.37 | 28 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cong-Kai Lin | 1 | 17 | 3.50 |
| Wen-Kai Tai | 2 | 119 | 16.71 |