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Motion stereo based on Fourier local phase adaptive matching

机译:基于傅里叶局部相位自适应匹配的运动立体声

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摘要

A computationally efficient pyramid adaptive algorithm based on Fourier local phase matching is proposed to compute precise depth estimates for motion stereo. In general, the motion stereo uses intensity value as the matching primitive. To decrease the computational depth error, when the brightness of each moving picture is highly variable, we developed a method for motion stereo using the phase of Gabor filters instead of intensity. To implement the motion stereo more efficiently, a hierarchical method is also used, consisting of pyramidal data sequences. We present the experimental results demonstrating that our method gives more accurate depth estimates than the motion stereo algorithm based on intensity matching.
机译:该文提出一种基于傅里叶局部相位匹配的计算效率高的金字塔自适应算法,用于计算运动立体的精确深度估计。通常,运动立体使用强度值作为匹配基元。为了减少计算深度误差,当每个运动图像的亮度高度可变时,我们开发了一种使用 Gabor 滤波器相位而不是强度的运动立体方法。为了更有效地实现运动立体,还使用了分层方法,由金字塔形数据序列组成。实验结果表明,与基于强度匹配的运动立体算法相比,该方法给出了更准确的深度估计。

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