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Size/position detection algorithm on the visual device

机译:视觉设备上的尺寸/位置检测算法

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摘要

We, human beings, can find signals at intersections and lavatory marks easily because we can recognize an object by gazing at it for about one second after selecting only some suitable objects in some hundred miliseconds in a wide and multi-band animation image detected by more than 100 million cones and rods in a retina, whose view angle is more than 150 degrees. A visual device is a model of such a visual mechanism of our brains, characterized by a MIMD-type array architecture and some local and parallel image processing algorithms. In order to develop a seeing-eye robot with an artificial eye carrying the visual device, now, our project is making an LSI of the visual device and its development environment. In this report, we estimate amount of transmit data after explaining about position/size detection algorithm that plays an important role in the visual device.
机译:我们人类可以很容易地在十字路口和洗手间的标志上找到信号,因为我们可以通过在数百毫秒内仅选择一些合适的对象,然后在更多的人检测到的宽频带动画图像中凝视对象大约一秒钟来识别对象。视网膜中超过1亿个视锥和视棒,其视角大于150度。视觉设备是我们大脑这种视觉机制的模型,其特征在于MIMD类型的阵列架构以及一些本地和并行图像处理算法。为了开发带有可携带视觉设备的人造眼的视觉眼机器人,现在,我们的项目是制造视觉设备及其开发环境的LSI。在此报告中,我们在解释了在视觉设备中起重要作用的位置/大小检测算法后,估计了传输数据的数量。

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