Improving Collision Detection for Real-Time Video Avatar Interaction

Ricardo NakamuraRomero Tori

In this paper we present a novel technique for the detection of collisions between a video avatar and entities of a virtual environment. This technique is suitable for real-time navigation and interaction of the video avatar within the virtual 3D space, and it is optimized to run on low-cost hardware platforms. It is based on the construction of an octree representation from a dense depth map and thus, takes into account the frame-to-frame posture changes from the video avatar. The results of a multithreaded implementation are presented and discussed.

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