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Optimized fixed point implementation of a local stereo matching algorithm onto C66x DSP

机译:在C66x DSP上优化本地定点匹配算法的定点实现

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Stereo matching techniques aim at reconstructing disparity maps from a pair of images. The use of stereo matching techniques in embedded systems is very challenging due to the complexity of the state-of-the-art algorithms. An efficient local stereo matching algorithm has been chosen from the literature and implemented on a c6678 DSP. Arithmetic simplifications such as approximation by piecewise linear functions and fixed point conversions are proposed. Thanks to factorisation and precomputing, the memory footprint is reduced by a factor 13 to fit on the memory footprint available on embedded systems. A 14.5 fps speed (factor 60 speed-up) has been reached with a small quality loss on the final disparity map.
机译:立体匹配技术旨在从一对图像重建视差图。由于最新算法的复杂性,在嵌入式系统中使用立体声匹配技术非常具有挑战性。从文献中选择了一种有效的本地立体声匹配算法,并将其实现在c6678 DSP上。提出了算术简化,例如通过分段线性函数进行逼近和定点转换。由于进行了分解和预计算,因此内存占用量减少了13倍,以适合嵌入式系统上可用的内存占用量。在最终视差图上,达到了14.5 fps的速度(加速60倍),而质量损失很小。

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