GPU-Based Real-Time Occlusion in a CAVE-Based Augmented Reality Environment
Yuzhu Lu, Shana Shiang-Fong Smith · 2007
In this paper, we present a prototype system which makes use of the characterisitcs of CAVE-based virtual reality to enhance immersion in an augmented-reality environment. The system integrates virtual objects into a real scene captured by a set of stereo remote cameras. We also developed a GPU-based method for computing occlusion between real and virtual objects, in real time. The method uses information from the captured stereo images to determine depth of objects in the real scene. Results and performance comparisons show that the GPU-based method is much faster than prior CPU-based methods.