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Real-Time System for High-Image Resolution Disparity Estimation

机译:高图像分辨率视差估计的实时系统

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We present the hardware implementation of a simple, fast technique for depth estimation based on phase measurement. This technique avoids the problem of phase warping and is much less susceptible to camera noise and distortion than standard block-matching stereo systems. The architecture exploits the parallel computing resources of FPGA devices to achieve a computation speed of 65 megapixels per second. For this purpose, we have designed a fine-grain pipeline structure that can be arranged with a customized frame-grabber module to process 52 frames per second at a resolution of 1280times960 pixels. We have measured the system's degradation due to bit quantization errors and compared its performance with other previous approaches. We have also used different Gabor-scale circuits, which can be selected by the user according to the application addressed and typical image structure in the target scenario
机译:我们介绍了一种简单,快速的基于相位测量的深度估计技术的硬件实现。与标准的块匹配立体声系统相比,该技术避免了相位翘曲的问题,并且更不容易受到相机噪声和失真的影响。该架构利用FPGA器件的并行计算资源来实现每秒65兆像素的计算速度。为此,我们设计了一种细粒度的流水线结构,可以将其与定制的帧捕获器模块一起安排,以每秒1280×960像素的分辨率处理52帧。我们已经测量了由于位量化误差导致的系统性能下降,并将其性能与其他先前方法进行了比较。我们还使用了不同的Gabor比例电路,用户可以根据目标应用中所针对的应用和典型的图像结构来选择它们

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