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An image compression for embedded eye-tracking applications

机译:嵌入式眼动追踪应用的图像压缩

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Human-machine interaction is becoming a sufficient part of coming future. Being a bright example of HMI, embedded eye-tracking systems allow user to interact with objects by using human's eye-movements. Due to wearable form-factor, developed eye-tracking system has to conform to low-power consumption, low-heat generation and low EM radiation as well as support wireless data transmission and be space efficient. Image capturing, finding of region of interest (ROI), compression of ROI and wireless transmission of compressed data are very beginning steps of the whole algorithm of finding coordinates of pupil. Therefore, area of concentration is to make them as performant as possible from theoretical point of view to further implementation. Combination of hardware powered ROI-finder coupled with well-tuned and optimized image compression system is aimed to speed-up wireless delivery of ROI-images to processing unit. Details of design of such system are presented and discussed.
机译:人机交互已成为未来的足够部分。作为HMI的一个很好的例子,嵌入式眼动跟踪系统允许用户通过使用人的眼动与对象进行交互。由于可穿戴的外形尺寸,开发的眼动追踪系统必须符合低功耗,低热量产生和低EM辐射的要求,并且必须支持无线数据传输并且要节省空间。图像捕获,感兴趣区域(ROI)的查找,ROI的压缩以及压缩数据的无线传输是查找瞳孔坐标的整个算法的最开始的步骤。因此,从理论的角度出发,集中精力是要使它们尽可能地具有性能。硬件驱动的ROI查找器与经过优化和优化的图像压缩系统的结合,旨在加快ROI图像向处理单元的无线传输。提出并讨论了这种系统的设计细节。

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