Analog VLSI circuits as physical structures for perception in early visual tasks

Analog VLSI circuits as physical structures for perception in early visual tasks
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模拟 VLSI 电路作为早期视觉任务中感知的物理结构

DOI:
10.1109/72.728397
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发表时间:
1998
期刊:
IEEE Trans. Neural Networks
影响因子:
--
通讯作者:
G. Bisio
G. Bisio
中科院分区:
--
文献类型:
--
作者:
L. Raffo;S. Sabatini;G. M. Bo;G. Bisio

文献摘要

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早期视觉中的各种计算任务可以通过格型网络来制定。这些网络的合作行动取决于互连的拓扑结构,包括前馈和递归的。本文表明,它是可以考虑一个不同的一般建筑解决方案的任何给定的顺序的所有经常性计算。详细分析了二阶网络的类Gabor脉冲响应,指出了如何在不影响系统稳定性的前提下,通过激励/抑制的相互作用实现空间域和频域的近最优滤波行为。这些架构可以在晶体管级非常有效地映射到作为模拟感知引擎操作的超大规模集成(VLSI)结构上。早期视觉任务的硬件实现的问题,确实可以通过结合这些感知代理通过适当的加权和来解决。一个17节点的模拟电流模式VLSI电路已实现在CMOS 2微米,NWELL,单多晶硅,双金属工艺,以证明该方法的可行性。提出了感知引擎在各种机器视觉算法中的应用。
A variety of computational tasks in early vision can be formulated through lattice networks. The cooperative action of these networks depends on the topology of interconnections, both feedforward and recurrent ones. This paper shows that it is possible to consider a distinct general architectural solution for all recurrent computations of any given order. The Gabor-like impulse response of a second-order network is analyzed in detail, pointing out how a near-optimal filtering behavior in space and frequency domains can be achieved through excitatory/inhibitory interactions without impairing the stability of the system. These architectures can be mapped, very efficiently at transistor level, on very large scale integration (VLSI) structures operating as analog perceptual engines. The problem of hardware implementation of early vision tasks can, indeed, be tackled by combining these perceptual agents through suitable weighted sums. A 17-node analog current-mode VLSI circuit has been implemented on a CMOS 2 microm, NWELL, single-poly, and double-metal technology, to demonstrate the feasibility of the approach. Applications of the perceptual engine to various machine vision algorithms are proposed.