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.
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