多墨盒改进苍蝇视觉系统边缘检测算法

Sakshi Agrawal, Brian K. Dean
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引用次数: 1

摘要

与基于人类视觉的传统摄像系统相比,家蝇(Musca Domestica)的复合视觉系统具有更好的运动检测和跟踪能力。因此,一种模仿普通家蝇视觉的复合视觉传感器在需要物体检测和避障的应用中更有优势。最近的概念验证表明,复合视觉传感器具有苍蝇视觉系统的运动超敏锐度特征,具有瞬时边缘检测能力;不需要计算机处理系统。然而,目前受家蝇启发的视觉系统,只有一个墨盒,无法检测视野中心的边缘。本文提出了多盒传感器设计,为复合视觉传感器设计提供了更强大的边缘检测和定向能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Cartridges Improve Edge Detection Algorithm for Fly Inspired Vision System
The compound vision system of a common housefly, Musca Domestica, has better motion detection and tracking capabilities as compared to traditional camera systems based on human vision. Therefore, a compound vision sensor that mimics the vision of a common housefly is far more advantageous in applications requiring object detection and obstacle avoidance. Recent proof-of-concept has shown that compound vision sensors possess motion hyperacuity characteristic of the fly's visual system with instantaneous edge detection capability; without the need of a computer processing system. However, the current Musca domestica inspired vision system, with one cartridge, cannot detect edges at the center of its field of view. In this paper, multi-cartridge sensor designs have been presented that allow more robust edge detection and orientation capability to the compound vision sensor design.
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