Accelerating Viola-Jones face detection to FPGA-level using GPUs
D Hefenbrock, J Oberg, NTN Thanh… - 2010 18th IEEE …, 2010 - ieeexplore.ieee.org
2010 18th IEEE Annual International Symposium on Field …, 2010•ieeexplore.ieee.org
Face detection is an important aspect for biometrics, video surveillance and human
computer interaction. We present a multi-GPU implementation of the Viola-Jones face
detection algorithm that meets the performance of the fastest known FPGA implementation.
The GPU design offers far lower development costs, but the FPGA implementation
consumes less power. We discuss the performance programming required to realize our
design, and describe future research directions.
computer interaction. We present a multi-GPU implementation of the Viola-Jones face
detection algorithm that meets the performance of the fastest known FPGA implementation.
The GPU design offers far lower development costs, but the FPGA implementation
consumes less power. We discuss the performance programming required to realize our
design, and describe future research directions.
Face detection is an important aspect for biometrics, video surveillance and human computer interaction. We present a multi-GPU implementation of the Viola-Jones face detection algorithm that meets the performance of the fastest known FPGA implementation. The GPU design offers far lower development costs, but the FPGA implementation consumes less power. We discuss the performance programming required to realize our design, and describe future research directions.
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