用基于aps的硅视网膜计算亮度常数

K. Shimonomura, T. Yagi
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引用次数: 3

摘要

硅视网膜是一种智能视觉传感器,它可以通过模拟脊椎动物视网膜中神经元电路结构的并行模拟电路来执行实时图像预处理。为了增强对光照条件变化的鲁棒性,我们设计并制造了一种基于帧的、宽动态范围的硅视网膜,它带有一个主动像素传感器,通过使用时间相关的阶跃复位电压技术来近似对数光照-电压转移特性。本研究的芯片实现了足够宽的动态范围,可以在室内和室外环境中感知物体。此外,芯片中的类对数光敏传感器与电阻网络的类拉普拉斯-高斯滤波相结合,产生了具有亮度常数的响应,即芯片的响应仅取决于物体反射率的对比,而不取决于光照的变化。目前的硅视网膜适用于现实世界中自主移动机器人视觉系统的前端。
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Computing lightness constancy with an APS-based silicon retina
A silicon retina is an intelligent vision sensor that can execute real-time image pre-processing by using a parallel analog circuit that mimics the structure of the neuronal circuits in a vertebrate retina. In order to enhance robustness against changes in lighting conditions, we designed and fabricated a frame-based, wide dynamic range silicon retina with an active pixel sensor that approximates the logarithmic illumination-to-voltage transfer characteristics by using a time-dependent stepped reset voltage technique. The chip in this study realized dynamic range wide enough for perceiving objects in both indoor and outdoor environments. Moreover, the combination of the logarithmic-like photosensor and the Laplacian-Gaussian-like filtering by a resistive network in the chip produces the response with lightness constancy, that is, the response of the chip depends only on the contrast of the reflectance of objects, and not on the changes in illumination. The present silicon retina is suitable for the front end of the vision system in autonomous mobile robots in the real world.
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