Image recognition operation on a dynamically reconfigurable vison architecture

Yuki Kamikubo, Minoru Watanabe, S. Kawahito
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Abstract

Recently, for use in autonomous vehicles and robots, demand has been increasing for high-speed image recognition that is superior to that of the human eye. However, to recognize numerous images quickly, such systems require many template images to be read out dynamically from memory. They must then be sent to a processor quickly. Achieving such high-speed real-time image recognition operation is difficult because of the bottleneck of the transfer between the memory and the processor. To alleviate that bottleneck, a dynamically reconfigurable vision architecture was proposed. This paper presents 16-gray scale image recognition operation of the proposed architecture.
基于动态可重构视觉架构的图像识别操作
最近,为了自动驾驶汽车和机器人的使用,对优于人眼的高速图像识别的需求正在增加。然而,为了快速识别大量图像,这样的系统需要从内存中动态读出许多模板图像。然后必须将它们快速发送到处理器。由于存储器和处理器之间传输的瓶颈,实现这种高速实时图像识别操作是困难的。为了缓解这一瓶颈,提出了一种动态可重构的视觉体系结构。本文提出了16级灰度图像识别的操作架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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