Abstract: an adaptive smoothing algorithm within a scale space framework is proposed to extract the features of noisy range images of a laser rangefinder.
摘要：为了提取含有噪声的激光扫描距离图像中的特征，提出了一种多尺度自适应滤波方法。
After smoothing, fitting and sampling the discrete space curves, the algorithm calculated Frenet frame and curvature for each sampling point.
该算法对离散的曲线进行光顺、拟合和采样，使用空间曲线微分几何性质计算各采样点的曲率和弗朗·内特标架。
After smoothing, fitting and sampling the discrete space curves, the algorithm calculated Frenet frame and curvature for each sampling point.
该算法对离散的曲线进行光顺、拟合和采样，使用空间曲线微分几何性质计算各采样点的曲率和弗朗·内特标架。
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