Optimization of Correlation Function and Sub-Pixel Estimation Method on Block Matching
Optimization of Correlation Function and Sub-Pixel Estimation Method on Block Matching
复制标题
块匹配相关函数和亚像素估计方法的优化
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
T. Matsuyama
中科院分区：
文献类型：
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作者：
Motoki Arai;K. Sumi;T. Matsuyama
在基于块匹配的立体图像中，如果需要精确的深度，需要对最佳匹配位置进行亚像素估计。到目前为止，对这种亚像素估计已经做了很多研究，但没有一个能很好地适用于真实图像。本文解释了亚像素估计中的系统误差是由相关函数与拟合函数的不匹配产生的，并证明了相关函数存在残差导致相关函数的形状与理想的理论形状发生变形，从而导致利用真实图像进行块匹配的立体定标和数字化。提出用二次差和绝对差的线性组合来模拟实相关函数。应用该模型，不仅减轻了系统的亚像素估计误差，而且对存在的相关函数残差也有效。将该模型应用于包含一定误差和真实图像的仿真，验证了该模型的有效性。
In block matching based stereo, if we need precise depth, sub-pixel estimation of best matching location is required. So far, many researches have been done on this sub-pixel estimation, but nothing is working well for real images. In this paper, I explained that the systematic error in sub-pixel estimation is generated by the mismatch of a correlation function and a fitting function, and I proved that the shape of correlation function is deformed from the ideal theoretical shape because of existing residual error of correlation function which is resulted in stereo calibration and digitization on block matching using real images. I proposed to model real correlation function by a linear combination of quadric and absolute difference. Applying this model, the systematic sub-pixel estimation error is mitigated, and it is effective also to existing the residual error of correlation function. The validity of this model was shown by applying to the simulation including some error and the real images.