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A USE OF DISCONTINUITY ELEMENTS IN COARSE AND FINE STEREO MATCHING

机译:不连续元素在粗略和精细立体匹配中的使用

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摘要

We present a coarse-and-fine algorithm that also uses discontinuity edge elements for stereo matching. The model uses a pyramid of multi-resolution scale images as input to create multiple disparity maps and discontinuity maps for the horizontal and vertical edges. The energy cost model includes the data constraint within each grid layer, smoothness constraint within each grid, and the inter-grid constraint to make sure there is consistency between neighboring resolution grids. Edge elements have an effect on the smoothness constraint in all the resolution levels to reduce an error from trying to smooth between discontinuity regions. We also propose a method to propagate the edge constraint between neighboring resolution grids. Using the Gibbs Sampler with simulated annealing optimization, we obtain the disparity and edge maps as a result of our algorithm. Results for various test images are presented.
机译:我们提出了一种粗略算法,该算法也使用不连续边缘元素进行立体声匹配。该模型使用多分辨率缩放图像的金字塔作为输入,以创建水平和垂直边缘的多个视差图和不连续图。能源成本模型包括每个网格层内的数据约束,每个网格内的平滑性约束以及网格间约束,以确保相邻分辨率网格之间的一致性。边缘元素会影响所有分辨率级别的平滑度约束,以减少尝试在不连续区域之间进行平滑处理时产生的误差。我们还提出了一种在相邻分辨率网格之间传播边缘约束的方法。使用具有模拟退火优化功能的Gibbs采样器,我们通过算法获得了视差图和边缘图。给出了各种测试图像的结果。

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