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High speed depth estimation by smart image sensor system

机译:通过智能图像传感器系统进行高速深度估计

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This work proposes a novel smart image sensor system for depth estimation by searching for the most in-focus position over multi-focus images (a sequence of images taken by changing a camera parameter "focus" little by little). On the smart sensor, in-focus position is detected pixel by pixel and all-in-focus image can be output in real time. A prototype sensor of 64/spl times/64 pixels has been designed and fabricated. It can be expected that the smart imaging system is able to generate depth map and all-in-focus images at video rate (30 Hz) or faster because the proposed sensor can operate at more than 1500 fps. This paper also proposes the method of removal and interpolation for depth map to improve accuracy of the depth map. Some experimental results are shown to verify the proposed method of the in-focus detection and the interpolation, and we show design of the proposed sensor.
机译:这项工作提出了一种新颖的智能图像传感器系统,用于通过在多焦点图像(一点一点地更改相机参数“焦点”而拍摄的图像序列)中搜索最大焦点位置来进行深度估计。在智能传感器上,逐个像素检测对焦位置,并且可以实时输出全对焦图像。已经设计和制造出了64 / spl倍/ 64像素的原型传感器。可以预期,由于所提出的传感器可以以超过1500 fps的速度运行,因此智能成像系统能够以视频速率(30 Hz)或更快的速度生成深度图和全焦点图像。本文还提出了深度图的去除和插值方法,以提高深度图的准确性。实验结果表明,可以验证所提出的对焦检测和插值方法,并给出所提出的传感器的设计。

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