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High speed acquisition system of photo-colorimetric images to record and to model human visual signal

机译:照片色度图像的高速采集系统,用于记录和模拟人类视觉信号

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Various problems in different domains are related to the operation of the Human Visual System (HVS). This is notably the case when interest turns to the driver's visual perception and road safety in general. As we know, 90% of the information used by a driver is supplied to him by his visual system. That's why the Laboratoire Regional des Ponts et Chaussees d'Angers has developed a human visual signal capture system. This system is based on a CCD video camera calibrated for luminance and chrominance which are the two physical magnitudes that make up the human visual signal. The first phase in the development is to adapt the spectral response of the optical system to the spectral characteristics of the human eye. Once the camera is adapted the second stage is calibration. This consists in transforming the graylevels registered by the camera into values of luminance and chrominance. The innovative feature of this system is the ability to record a single image containing the entire set of information carried by the visual signal. The framerate is 10 frames per second which allows the camera to be carried inside a vehicle and to record images of road scenes exactly as the driver has actually perceived them. After recording, vision algorithms can be applied to these images in order to reproduce the physiological processes which take place on the retina or in the brain. These tools can then be used to evaluate visibility levels of roadway infrastructure, of public lighting, or the saliency of objects.
机译:不同领域中的各种问题都与人类视觉系统(HVS)的操作有关。通常,当兴趣转向驾驶员的视觉感知和道路安全时尤其如此。众所周知,驾驶员使用的信息中有90%是由驾驶员的视觉系统提供给驾驶员的。这就是为什么昂热桥和长廊实验室开发了人类视觉信号捕获系统的原因。该系统基于经过校正的亮度和色度的CCD摄像机,亮度和色度是构成人类视觉信号的两个物理量级。开发的第一阶段是使光学系统的光谱响应适应人眼的光谱特性。摄像机适应后,第二阶段就是校准。这包括将相机记录的灰度转换为亮度和色度值。该系统的创新功能是能够记录包含可视信号所携带的全部信息的单个图像。帧速率为每秒10帧,这使摄像机可以随身携带在车辆内,并可以准确记录驾驶员实际感觉到的道路场景图像。记录后,可以将视觉算法应用于这些图像,以重现发生在视网膜或大脑中的生理过程。然后,这些工具可用于评估道路基础设施,公共照明或物体的显着性的可见度。

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