We present an approach to compute the visual hulls of multiple people in real-time in the presence of occlusions. We prove that the resulting visual hulls are correct and minimal under occlusions. Our proposed algorithm runs completely on the GPU with framerates up to 50fps for multiple people using only one computer equipped with off-the-shelf hardware. We also compare runtimes for different graphic chips and show that our approach scales very well without additional effort. Comparison to other work shows that our algorithm is as fast as state-of-the-art technology. The resulting visual hulls can be the basis for a wide range of algorithms that require a robust voxel representation as input. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Schick, A., & Stiefelhagen, R. (2009). Real-time gpu-based voxel carving with systematic occlusion handling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5748 LNCS, pp. 372–381). https://doi.org/10.1007/978-3-642-03798-6_38
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