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

机译:通过使用焦平面压缩传感器进行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, the 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/spl times/128 pixels. It is verified that the processing circuits of the prototype can operate at more than 5000 frames/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:为了增强图像感测的性能,我们一直在研究图像传感器上感测和压缩的新型集成。通过积分,可以显着减少必须从传感器读出的图像信号中的像素数量,并且因此积分可以增加像素速率。在本文中,我们描述了一种基于列并行架构的新型压缩传感器。我们已经实现了具有128 / spl次/ 128像素的原型。验证了原型的处理电路可以以超过5000帧/秒的速度运行。我们还显示了两个实验的结果,分别是运动对象的实时重建,实时跟踪和深度估计。

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