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A Block Matching Approach for Movement Estimation in a CMOS Retina: Principle and Results

机译:CMOS视网膜中运动估计的块匹配方法:原则和结果

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We present in this paper a silicon retina - specific CMOS image sensor - dedicated to movement estimation. This circuit has been fabricated in a standard 0.35μm CMOS process. The pixel is composed with both sensitive elements - a photodiode is used to convert photons to electrons -and electronic components for computations. Its goal is to extract the optical flow from two acquired images. Movement estimation is a very often used task after image acquisition, which usually needs a sensor, a processing unit (DSP, FPGA) and external memories [5]. Here, the functionality is achieved in a single chip, by an electrical way, giving compactness and low power to this costing task. The movement estimation algorithm we use comes from [2], its advantages are: robustness with real sequences, its real use in robotics, and its good electrical mapping. The circuit's architecture is divided in two parts, corresponding to the two steps of the original algorithm.
机译:我们在本文中存在硅视网膜特定的CMOS图像传感器 - 专用于移动估计。该电路已在标准的0.35μmCMOS工艺中制造。像素由两个敏感元件组成 - 光电二极管用于将光子转换为电子 - 以及用于计算的电子元件。其目标是从两个获取的图像中提取光流。运动估计是图像采集后的经常使用的任务,其通常需要传感器,处理单元(DSP,FPGA)和外部存储器[5]。这里,通过电气方式在单个芯片中实现功能,为该成本计算任务提供紧凑性和低功率。我们使用的运动估计算法来自[2],其优点是:具有真实序列的鲁棒性,其在机器人中的真正使用以及其良好的电气映射。电路的架构分为两部分,对应于原始算法的两个步骤。

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