Charlotte, North Carolina, USA
May 2, 2010 to May 4, 2010
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FCCM.2010.12
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.
Graphical Processing Unit, Face Detection, Field Programmable Gate Array, Acceleration
Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden, "Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs", FCCM, 2010, Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, Field-Programmable Custom Computing Machines, Annual IEEE Symposium on 2010, pp. 11-18, doi:10.1109/FCCM.2010.12