← 返回 JSSC 论文列表JSSC 2007第4期Memory0.13μmSRAM
A 0.79-mm/5029-mW Real-Time Face
一款0.79mm²/5029mW的实时人脸检测核心,采用0.13μm CMOS技术,支持每秒30帧检测8张人脸,准确率达92%。
0.13μm CMOS, 0.79mm², 5029mW, 30 frames/second, 92% accuracy
人脸检测CMOS技术硬件优化模板匹配功耗降低
▸两种面部特征模板实现高速准确检测
▸稳态遗传算法用于高速硬件模板匹配
▸帧内存优化与检测引擎共享降低面积与功耗
Abstract
A 0.79-mm/5029-mW real-time face detection core is fabricated in a 0.13- m CMOS technology. It consists of 75-kgate logic, 58-kbit SRAM, and an ARM AMBA bus interface. Com- prehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. Two kinds of templates with facial features are proposed to achieve high speed and yet accurate face detection. A Steady State Ge- netic Algorithm is employed for high-speed hardware implementa- tion of template matching. To reduce area and power dissipation, frame memory is optimized at minimum and the detection engine is shared for two kinds of template matching. The core can detect eight faces in each frame of moving pictures at 30 frames/second. Face detection accuracy is 92%.