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STEREO MATCHING ALGORITHM BASED ON ILLUMINATION CONTROL TO IMPROVE THE ACCURACY

机译:基于照明控制提高精度的立体匹配算法

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This paper presents a new method of pixel based stereo matching algorithm using illumination control. The state of the art algorithm for absolute difference (AD) works fast, but only precise at low texture areas. Besides, it is sensitive to radiometric distortions (i.e., contrast or brightness) and discontinuity areas. To overcome the problem, this paper proposes an algorithm that utilizes an illumination control to enhance the image quality of absolute difference (AD) matching. Thus, pixel intensities at this step are more consistent, especially at the object boundaries. Then, the gradient difference value is added to empower the reduction of the radiometric errors. The gradient characteristics are known for its robustness with regard to the radiometric errors. The experimental results demonstrate that the proposed algorithm performs much better when using a standard benchmarking dataset from the Middlebury Stereo Vision dataset. The main contribution of this work is a reduction of discontinuity errors that leads to a significant enhancement on matching quality and accuracy of disparity maps.
机译:本文提出了一种新的基于光照控制的基于像素的立体匹配算法。绝对差分(AD)的最新算法工作迅速,但仅在低纹理区域精确。此外,它对辐射畸变(即,对比度或亮度)和不连续区域敏感。为了克服这个问题,本文提出了一种算法,该算法利用照明控制来增强绝对差(AD)匹配的图像质量。因此,此步骤的像素强度更加一致,尤其是在对象边界处。然后,添加梯度差值以降低辐射误差。梯度特性以其相对于辐射误差的鲁棒性而闻名。实验结果表明,该算法在使用Middlebury Stereo Vision数据集的标准基准数据集时表现更好。这项工作的主要贡献是减少了不连续性误差,从而大大提高了视差图的匹配质量和准确性。

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