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Communication Dans Un Congrès Année : 2014

High-resolution facial performance capture using CUDA

Résumé

Learn how to use GPU for accelerating 3D registration with Kinect or similar devices in order to capture highly-detailed facial performance in real time or at an interactive speed. We describe the energy-based approach that we borrowed from Hao Li et al. paper published at SGP 2008. We also explain why we can benefit from GPU computation power and achieve higher quality and more detail at interactive speeds. Finally, we elaborate on how real-time performance can be achieved by improving our CUDA-based implementation
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Dates et versions

hal-01058625 , version 1 (27-08-2014)

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  • HAL Id : hal-01058625 , version 1

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Konstantin Kolchin, Jerome Courchay, Patrick Horain. High-resolution facial performance capture using CUDA. GTC 2014 : GPU Technology Conference , Mar 2014, San Jose, United States. pp.1 - 17. ⟨hal-01058625⟩
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