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Quaternion wavelet phase based stereo matching for uncalibrated images

机译:基于四元数小波相位的未校准图像立体匹配

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This paper proposes a quaternion wavelet phase based stereo matching (QWPSM) scheme for uncalibrated image pairs. In this scheme, we estimate the disparity by directly establishing correspondences between quaternionic phase structures of two quaternion wavelet filtered (QWF) images. Firstly, linear-phase quaternion wavelet filters (LPQWFs) are constructed from real biorthogonal wavelet bases. Then, quaternion phases are extracted under each scale through quaternion wavelet filtering of the multiscale transformed image pyramids. The disparity estimation is formed as a minimization process of a local energy weighted cost function, and propagated from coarse to fine scales. Costs can adaptively alleviate the negative effects of phase singularities, which are the main causes of mismatches in phase-based stereo matching. Multiscale matching strategy is used to avoid phase wrapping and improve convergence speed. Experimental results are promising in various image pairs.
机译:针对未校准的图像对,提出了一种基于四元数小波相位的立体匹配(QWPSM)方案。在该方案中,我们通过直接建立两个四元数小波滤波(QWF)图像的四元离子相结构之间的对应关系来估计视差。首先,从真实的双正交小波基构造线性四元数小波滤波器(LPQWF)。然后,通过对多尺度变换图像金字塔进行四元数子波滤波,在每个尺度下提取四元数相位。视差估计是作为局部能量加权成本函数的最小化过程而形成的,并且从粗略尺度传播到精细尺度。成本可以自适应地减轻相位奇异性的负面影响,这是基于相位的立体声匹配中不匹配的主要原因。多尺度匹配策略用于避免相位包裹和提高收敛速度。在各种图像对中的实验结果很有希望。

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