NDLI: Automatic Exploration Path Planning for 3D Object Observation

Content Provider	IEEE Xplore Digital Library
Author	Jian Zhao Hanchen Song Jiangbin Xu Lingda Wu
Copyright Year	2009
Abstract	This paper proposes a novel method for planning exploration path in 3D object observation. First, we give a viewpoint quality metric, which combines the notion of mesh saliency and fuzzy nearness. Each viewpoint corresponds to a fuzzy set, and the quality of a viewpoint can be measured by fuzzy nearness between a normal fuzzy set and the ideal fuzzy set. Then, we compute an optimal viewpoint set. Viewpoints in the optimal viewpoint set are key points on the exploration path. We use a virtual viewpoint to replace a viewpoint set, and the fuzzy set which corresponds to the virtual viewpoint can be calculated by fuzzy comprehensive evaluation. The quality of the virtual viewpoint can be taken as an objective function and the optimal viewpoint set can be obtained by ant colony optimization algorithm. Finally, we sort the viewpoints in the optimal viewpoint set and connect them using cardinal spline curve. Consequently, the automatic exploration path is constructed. Experimental results show that our method can obtain a good exploration path which can help observer understand an object roundly and quickly.
Starting Page	1289
Ending Page	1294
File Size	461887
Page Count	6
File Format	PDF
ISBN	9781424452095
DOI	10.1109/NCM.2009.109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-25
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization Mesh Saliency Automatic Exploration Conference management Educational institutions Path planning Entropy Information management Scene Understanding Fuzzy sets Layout Management information systems Random variables Viewpoint Quality
Content Type	Text
Resource Type	Article

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