区域分割的亚像素相位立体匹配算法
发布时间：2019-07-30 17:45
【摘要】：针对双目光栅投影测量中深度不连续及边界阴影处的误匹配导致测量误差大的问题,提出区域分割的亚像素相位立体匹配算法。该算法采用由粗到精的匹配策略,在标准极线几何、相位等约束下获得粗匹配点。根据变形栅线图、展开相位图的特点将粗匹配结果分为不包含边界阴影的深度连续区域、边界阴影及深度不连续区域,分别使用加窗匹配测度最小二乘法和外插法获得亚像素匹配点。实验结果表明:该算法能有效消除传统匹配算法在深度不连续处的视差平滑过渡;与传统点基元匹配算法相比,该算法在边界阴影及深度不连续处的平均高度相对误差减小了62%~69%,与传统模板匹配算法相比,该算法在边界阴影及深度不连续处的平均高度相对误差减小了57%~61%,在深度连续处的匹配精度提高了3~4倍。该算法有效提高了相位立体匹配的精度,对提高目前三维测量技术精度具有重要意义。
[Abstract]:A sub-pixel phase three-dimensional matching algorithm based on region segmentation is proposed for the problem of the large measurement error caused by the mismatch of the depth discontinuity and the boundary shadow in the binocular grating projection measurement. The algorithm uses a rough-to-fine matching strategy to obtain a rough matching point under the constraints of standard line geometry, phase, and the like. According to the deformation grid line graph, the rough matching result is divided into a depth continuous region, a boundary shadow and a depth discontinuity region, which do not contain the boundary shadow, and the sub-pixel matching points are obtained by using the windowing matching measure least square method and the extrapolation method, respectively. The experimental results show that the algorithm can effectively eliminate the disparity smooth transition of the traditional matching algorithm in the depth discontinuity. Compared with the traditional point primitive matching algorithm, the relative error of the algorithm at the boundary shadow and the depth discontinuity is reduced by 62-69%, Compared with the traditional template matching algorithm, the relative error of the algorithm in the boundary shadow and the depth discontinuity is reduced by 57% to 61%, and the matching accuracy at the depth is increased by 3-4 times. The method effectively improves the precision of the phase three-dimensional matching, and is of great significance for improving the accuracy of the current three-dimensional measurement technology.
【作者单位】： 西安交通大学机械工程学院;
【基金】：国家自然科学基金资助项目(11072183)
【分类号】：TP391.41
[Abstract]:A sub-pixel phase three-dimensional matching algorithm based on region segmentation is proposed for the problem of the large measurement error caused by the mismatch of the depth discontinuity and the boundary shadow in the binocular grating projection measurement. The algorithm uses a rough-to-fine matching strategy to obtain a rough matching point under the constraints of standard line geometry, phase, and the like. According to the deformation grid line graph, the rough matching result is divided into a depth continuous region, a boundary shadow and a depth discontinuity region, which do not contain the boundary shadow, and the sub-pixel matching points are obtained by using the windowing matching measure least square method and the extrapolation method, respectively. The experimental results show that the algorithm can effectively eliminate the disparity smooth transition of the traditional matching algorithm in the depth discontinuity. Compared with the traditional point primitive matching algorithm, the relative error of the algorithm at the boundary shadow and the depth discontinuity is reduced by 62-69%, Compared with the traditional template matching algorithm, the relative error of the algorithm in the boundary shadow and the depth discontinuity is reduced by 57% to 61%, and the matching accuracy at the depth is increased by 3-4 times. The method effectively improves the precision of the phase three-dimensional matching, and is of great significance for improving the accuracy of the current three-dimensional measurement technology.
【作者单位】： 西安交通大学机械工程学院;
【基金】：国家自然科学基金资助项目(11072183)
【分类号】：TP391.41
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