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Effects of compressive non linearity on insect based motion detection

机译:压缩非线性对昆虫运动检测的影响

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Motion detection and velocity estimation systems based on the study of insects tries to emulate the extraordinary visual system of insects with the aim of coming up with low power, computationally simple, highly efficient and robust devices. The Reichardt correlator model is one of the earliest and the most prominent models of motion detection based on insect vision. In this paper we try to extend the Reichardt correlator model to include an additional non-linearity which has been seen to be present in the fly visual system and we study its effect on the contrast dependance of the response and also try to understand its influence on pattern noise. Experiments are carried out by adding this compressive non-linearity at different positions in the model as has been postulated by previous works and comparison of the physiological data with modelling results is done.
机译:基于昆虫研究的运动检测和速度估计系统试图模仿昆虫的非凡视觉系统,以期提供低功耗,计算简单,高效且坚固的设备。 Reichardt相关器模型是基于昆虫视觉的运动检测的最早也是最著名的模型之一。在本文中,我们尝试扩展Reichardt相关器模型,使其包括已在飞行视觉系统中出现的附加非线性,并研究其对响应的对比度依赖性的影响,并试图了解其对响应的影响。图案噪音。如先前的工作所假设的,通过在模型中的不同位置处添加此压缩非线性来进行实验,并完成了生理数据与建模结果的比较。

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