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 Real-Time 3D Face Acquisition Using Reconfigurable Hybrid Architecture | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 81387 8 pages doi 2007 81387 Research Article Real-Time 3D Face Acquisition Using Reconfigurable Hybrid Architecture Johel Miteran Jean-Philippe Zimmer Michel Paindavoine and Julien Dubois Le2i Laboratory University of Burgundy BP 47870 21078 DIJON Cedex France Received 2 May 2006 Revised 22 November 2006 Accepted 12 December 2006 Recommended by Joern Ostermann Acquiring 3D data of human face is a general problem which can be applied in face recognition virtual reality and many other applications. It can be solved using stereovision. This technique consists in acquiring data in three dimensions from two cameras. The aim is to implement an algorithmic chain which makes it possible to obtain a three-dimensional space from two two-dimensional spaces two images coming from the two cameras. Several implementations have already been considered. We propose a new simple real-time implementation based on a hybrid architecture FPGA-DSP allowing to consider an embedded and reconfigurable processing. Then we show our method which provides depth map of face dense and reliable and which can be implemented on an embedded architecture. A various architecture study led us to a judicious choice allowing to obtain the desired result. The real-time data processing is implemented in an embedded architecture. We obtain a dense face disparity map precise enough for considered applications multimedia virtual worlds biometrics and using a reliable method. Copyright 2007 Johel Miteran et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION We present in this paper a comparison of numerous methods allowing obtaining a dense depth map of human face and the real-time implementation of the chosen method. Acquiring
