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Real-time 3D body reconstruction for immersive TV

: Waizenegger, W.; Feldmann, I.; Schreer, O.; Kauff, P.; Eisert, P.


Karam, L. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE International Conference on Image Processing, ICIP 2016. Proceedings : September 25-28, 2016, Phoenix Convention Center, Phoenix, Arizona, USA
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-9962-3 (Print)
ISBN: 978-1-4673-9961-6 (Online)
International Conference on Image Processing (ICIP) <23, 2016, Phoenix/Ariz.>
Fraunhofer HHI ()

In this work, a novel and fast algorithm for real-time 3D body reconstruction from stereo sequences is proposed. The main contributions of this work consist of a novel approach for a statistically guided stereo processing and a data parallel iteration scheme for 3D estimation that includes temporal predecessors from a local spatial neighborhood. A purely GPU based implementation is provided that exhibits a nearly linear scaling of the runtime with respect to the number of GPUs. This leads to an inherent sub-pixel processing due to the availability of hardware supported texture lookups. Our implementation is able to process 4K (UHD) stereo streams on a 4×4 grid with 30 fps on a single state-of-the-art consumer graphics card. The algorithmic performance of our approach is demonstrated in the context of an immersive TV application.