Depth-Buffer based Navigation
نویسندگان
چکیده
Intuitive navigation is extremely important for the exploration of virtual environments. The best navigation is available in computer games, where it is mandatory that the player can control the movements of his avatar quickly and with a steep learning curve. Such intuitive navigation requires collision detection. In this paper we present a system that performs a very fast and robust collision detection for avatars by using depth maps. Before an avatar is moved, depth images of the path towards the target position are generated and analysed, and the new position of the avatar is adapted accordingly. With this system, it is possible to walk in arbitrary virtual worlds in an intuitive manner without any additional scene representations or precomputations.
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