Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Reconfigurable Architecture for Rotation Invariant Multi-View Face Detection Based on a Novel Two-Stage Boosting Method | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 917354 22 pages doi 2009 917354 Research Article A Reconfigurable Architecture for Rotation Invariant Multi-View Face Detection Based on a Novel Two-Stage Boosting Method Jinbo Xu 1 Yong Dou 1 and Zhengbin Pang2 1 National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China 2 Institute of Computer School of Computer National University of Defense Technology Changsha 410073 China Correspondence should be addressed to Jinbo Xu Received 30 December 2008 Revised 9 May 2009 Accepted 19 August 2009 Recommended by Liang-Gee Chen We present a reconfigurable architecture model for rotation invariant multi-view face detection based on a novel two-stage boosting method. A tree-structured detector hierarchy is designed to organize multiple detector nodes identifying pose ranges of faces. We propose a boosting algorithm for training the detector nodes. The strong classifier in each detector node is composed of multiple novelly designed two-stage weak classifiers. With a shared output space of multicomponents vector each detector node deals with the multidimensional binary classification problems. The design of the hardware architecture which fully exploits the spatial and temporal parallelism is introduced in detail. We also study the reconfiguration of the architecture for finding an appropriate tradeoff among the hardware implementation cost the detection accuracy and speed. Experiments on FPGA show that high accuracy and marvelous speed are achieved compared with previous related works. The execution time speedups range from to for images with size of 160 X 120 up to 800 X 600 when our FPGA design 98 MHz is compared with software solution on PC Pentium 4 GHz . Copyright 2009 Jinbo Xu et al. This is an open access article distributed under the Creative Commons .
