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Virtual world explorations by using topological and semantic knowledge
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AI
DOI：10.1007/s00371-007-0182-z.png)
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Abstract
En 中文
This paper is dedicated to virtual world exploration techniques. Automatic camera control is important in many fields as computational geometry, visual servoing, robot motion, graph drawing, etc. The paper introduces a high-level camera controlling approach in virtual environments. The proposed method is related to real-time 3D scene exploration and is made of two steps. In the first step, a set of good viewpoints is chosen to give the user a maximum knowledge of the scene. The second step uses the viewpoints to compute a camera path between them. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
Keywords:
scene understanding
automatic virtual camera
virtual camera
semantic distance