Programmable optical CNN implementation based on the template pixels' angular coding

S. Tõkés, L. Orzó, T. Roska
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引用次数: 3

Abstract

Within the programmable opto-electronic analogic computer (POAC) framework a new, feed forward only optical CNN-UM implementation has been introduced. It is grounded on an innovative semi-incoherent optical correlator architecture. Angular coding of the template pixels determines the operation of this optical CNN implementation, therefore it is real time and flexibly programmable. We have demonstrated its feasibility and operation by an experimental setup. Our correlator architecture makes it possible to execute algorithms real time, which cannot be done by any other existing optical correlator so far. Our architecture unifies the advantages of coherent and incoherent optical correlators, provides a more robust frame and avoids their main hindrances. In the POAC framework the resulting correlogram is measured by a programmable adaptive sensor array, a special visual CNN-UM chip. So, local parallel programs fulfill both the necessary pre and post processing with the required adaptive thresholding. However, because of the limited resolution of available visual CNN chips (28/spl times/28), all-optical optical pre- and post-processing will be used, as well.
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基于模板像素角编码的可编程光学CNN实现
在可编程光电模拟计算机(POAC)框架内,引入了一种新的,仅前馈的光学CNN-UM实现。它基于一种创新的半非相干光学相关器结构。模板像素的角度编码决定了该光学CNN实现的操作,因此具有实时性和可编程灵活性。通过实验验证了该方法的可行性和可操作性。我们的相关器结构使得实时执行算法成为可能,这是迄今为止任何其他现有的光学相关器都无法做到的。我们的结构结合了相干和非相干光相关器的优点,提供了一个更健壮的框架,并避免了它们的主要障碍。在POAC框架中,通过可编程自适应传感器阵列(一种特殊的视觉CNN-UM芯片)测量得到的相关图。因此,本地并行程序用所需的自适应阈值完成必要的预处理和后处理。然而,由于现有的视觉CNN芯片的分辨率有限(28/spl倍/28),因此也将使用全光光学预处理和后处理。
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