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Very fast tracking and depth estimation by using focal plane compression sensors

机译:使用焦平面压缩传感器非常快速的跟踪和深度估计

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In order to enhance the performance of image sensing, we have been investigating a novel integration of sensing and compression on an image sensor. By the integration, number of pixels in the image signal that has to be readout from the sensor can be significantly reduced, and the integration can consequently increase the pixel rate.In this paper, we describe a new compression sensor based on a column parallel architecture. We have implemented the prototype which has 128×128 pixels. It is verified that the processing circuits of the prototype can operate at more than 5000frames/second. We also show the results of two experiments which are real-time reconstruction and real-time tracking and depth estimation of a moving object.
机译:为了提高图像感测的性能,我们已经研究了图像传感器对感测和压缩的新颖集成。通过集成,可以显着降低从传感器读出的图像信号中的像素数,并且整合可以增加像素率。在本文中,我们描述了一种基于列并行架构的新压缩传感器。我们已经实现了具有128×128像素的原型。验证了原型的处理电路可以在5000多帧/秒内运行。我们还显示了两个实验的结果,该实验是移动物体的实时重建和实时跟踪和深度估计。

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