A real-time face recognition system using custom VLSI hardware
A real-time face recognition system using custom VLSI hardware
复制标题
使用定制 VLSI 硬件的实时人脸识别系统
DOI：
10.1109/camp.1993.622458
复制
发表时间：
1993
期刊：
影响因子：
--
通讯作者：
Woodward Yang
中科院分区：
文献类型：
--
作者：
Jeffrey M. Gilbert;Woodward Yang
实时人脸识别系统已经在IBM兼容的个人计算机上实现，该计算机配备了摄像机、图像数字化和定制的VLSI图像相关器芯片。对于半控制照明条件下的单个正面面部图像，该系统执行(I)图像预处理和模板提取，(Ii)与173幅图像的数据库进行模板关联，以及(Iii)对关联结果进行后处理以识别用户。讨论了系统的性能问题，包括图像预处理、人脸识别算法、软件开发和VLSI硬件实现。特别是，在80486/66DX2上，并行、全流水线VLSI图像相关器能够执行340MOP/秒，并实现比优化汇编代码快20%的速度。整个系统能够在大约两到三秒钟内从包含34个人的173张图像的数据库中识别出用户。虽然系统的识别性能很难简单量化，但在中等变化的数据库上使用交叉验证，系统获得了非常保守的88%的识别率。
A real-time face recognition system has been implemented on an IBM compatible personal computer with a video camera, image digitizer, and custom VLSI image correlator chip. With a single frontal facial image under semicontrolled lighting conditions, the system performs (i) image preprocessing and template extraction, (ii) template correlation with a database of 173 images, and (iii) postprocessing of correlation results to identify the user. System performance issues including image preprocessing, face recognition algorithm, software development, and VLSI hardware implementation are addressed. In particular, the parallel, fully pipelined VLSI image correlator is able to perform 340 Mop/second and achieve a speed up of 20 over optimized assembly code on a 80486/66DX2. The complete system is able to identify a user from a database of 173 images of 34 persons in approximately two to three seconds. While the recognition performance of the system is difficult to quantify simply, the system achieves a very conservative 88% recognition rate using cross-validation on the moderately varied database.