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A Systolic Multi-layer Stereo Matching Algorithm

机译:一种收缩式多层立体声匹配算法

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Stereo vision is the process of recreating 3-D spatial information from a pair of 2-D images. We propose a multilayer stereo vision algorithm and architecture which makes it possible to match two images in real time, without the rectification of the image (the rectification means making the scan line parallel to the epipolar line). It is the self calibration method that searches the pixel within several lines of one image corresponding to a pixel on the scan line of the other image to solve the epipolar probelm. We also propose a subpixel multi-layer system which considers subpixel data. It is useful for the stereo matching of the image with the characteristics of the high frequency bandwidth. The total time complexity is O(N) so that real time processing is possible. The hardware architecture is a simple linear systolic array apt for ASIC. The hardware design is verified by simulations, and it is confirmed that this system can process typical video image sequences in real time.
机译:立体视觉是从一对二维图像重新创建三维空间信息的过程。我们提出了一种多层立体声视觉算法和架构,其使得可以实时匹配两个图像,而无需图像的整流(整流装置使得与末极线平行的扫描线)。它是自校准方法,其在对应于另一图像的扫描线上的像素的几行中搜索像素以解决Epipolar Probelm。我们还提出了一个子像素的多层系统,其考虑子像素数据。它对于具有高频带宽的特性的图像的立体声匹配是有用的。总时间复杂度是O(n),以便可以实时处理。硬件架构是一个简单的线性收缩阵列,适用于ASIC。通过模拟验证硬件设计,并确认该系统实时地处理典型的视频图像序列。

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