Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, H. Yoo
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引用次数: 12
摘要
采用0.13 μ m CMOS技术，研制了一种66fps、38mw的实时目标识别最近邻匹配处理器。它由RISC处理核、预取DMA和两组独立的逻辑合并存储器组成。基于层次矢量量化(H-VQ)算法，实现的处理器在匹配过程中减少22.5倍的周期时间，且不损失VQ操作的精度。因此，在5632个条目的数据库中，QVGA (320times240像素)视频图像的帧率为66 fps。
A 66fps 3 8mW nearest neighbor matching processor with hierarchical VQ algorithm for real-time object recognition
A 66 fps 38 mW nearest neighbor matching processor for real-time object recognition has been fabricated in 0.13 mum CMOS technology. It consists of RISC processing core, pre-fetch DMA, and two independent sets of logic merged memories. Based on hierarchical vector quantization (H-VQ) algorithm, implemented processor achieves 22.5X cycle time reduction in matching process without any accuracy loss in VQ operation. As a result, 66 fps frame rate is obtained for QVGA (320times240 pixels) video images with 5632-entry database.
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