首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm
【24h】

ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm

机译:ASP-SIFT:使用模拟信号处理体系结构加速SIFT算法的关键点检测

获取原文
获取原文并翻译 | 示例

摘要

The scale-invariant feature transform (SIFT) algorithm is still one of the most reliable image feature extraction methods. Despite its excellent robustness on various image transformations, SIFT's intensive computational burden has been severely preventing it from being used in real-time and energy-efficient embedded machine vision systems. To reduce processing time and energy cost while executing SIFT, an analog signal processing architecture, analog signal processing (ASP)-SIFT, is proposed in this article. In ASP-SIFT, the Gaussian pyramid construction, difference-of-Gaussian (DoG) pyramid construction and keypoint locating, which are the primary steps of the keypoint detection part of the SIFT algorithm, are done directly with analog circuit networks. Thus, by completing keypoint detection in the analog domain, the total processing time is approximately equal to the settling time of the circuit network. Besides, by adopting a current-mode circuit network operating in the subthreshold region, the power dissipation would be very low. Simulation results show that the total processing speed for a typical video graphics array (VGA)-format ( $640imes480$ ) image is up to 2.3 kframes per second, which is at least $3.26imes $ faster than the state-of-the-art digital hardware accelerators, while the system power is 94.5 mW and the energy consumption is only $40 similar tomu ext{J}$ per frame.
机译:尺度不变特征变换(SIFT)算法仍然是最可靠的图像特征提取方法之一。尽管SIFT在各种图像变换上都具有出色的鲁棒性,但其庞大的计算负担却严重阻止了它在实时且节能的嵌入式机器视觉系统中的使用。为了减少执行SIFT时的处理时间和能源成本,本文提出了一种模拟信号处理体系结构,即模拟信号处理(ASP)-SIFT。在ASP-SIFT中,高斯金字塔构造,高斯差分(DoG)金字塔构造和关键点定位是SIFT算法关键点检测部分的主要步骤,这些步骤直接由模拟电路网络完成。因此,通过完成模拟域中的关键点检测,总处理时间大约等于电路网络的建立时间。此外,通过采用在亚阈值区域中工作的电流模式电路网络,功耗将非常低。仿真结果表明,典型的视频图形阵列(VGA)格式($ 640 times480 $)图像的总处理速度高达每秒2.3 kframe,这比当前状态至少快$ 3.26 times $。先进的数字硬件加速器,而系统功率为94.5 mW,能耗仅为每帧 mu text {J} $的$ 40。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号