3D Scene Analysis Using UIMA Framework

Authors:
Yubin Yang;Wei Wei;Tong Lu;Yang Gao;Yao Zhang;Chunsheng Yang
Affiliations:
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;Jin-Ling Institute, Nanjing University, Nanjing, China 210093;Institute for Information Technology, National Research Council Canada, Ottawa, Canada
Venue:
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Year:
2009

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Abstract

With the integration of Internet and Virtual Reality techniques, three-dimensional scenes have been widely used in many fields. They are adequately vivid and complex to convey a large amount of perceptual details. However, most 3D scene data currently available are semi-structured without sufficient structured semantic clues. To address this issue, we propose a 3D scene analysis method by applying the UIMA (Unstructured Information Management Architecture) framework, which provides semantic-based intelligent annotation approaches and tools for unstructured data structures, to annotate VRML/X3D scene documents. An engine for 3D scene analysis is implemented using IBM's UIMA framework, and some experiments are carried out using the developed environment. The results demonstrated that meaningful structured features can be extracted effectively from the unstructured 3D scene data under UIMA framework.