Curvature estimation plays an important role in range image analysis.
曲率估计在深度图像分析中占有重要地位。
A local map building method based on laser data adaptive curvature estimation is presented for mobile robot in unknown structured environment.
针对未知环境中机器人局部地图的构建问题，提出一种激光测距的离散数据自适应曲率估计算法。
The main contents are as follows:A vertex curvature estimation method for triangle mesh is researched and the accuracy of curvature estimation is verified by parameter surfaces.
研究了三角网格模型上顶点曲率的估算方法，并用参数曲面的网格模型验证了曲率估算的精度。
Other preprocessing methods such as discrete curvature estimation and feature point extraction are also studied, and a section-feature recognition algorithm, based on curve fitting, is proposed.
研究了用圆弧曲率估算截面数据离散曲率的方法和特征点提取方法，提出了基于曲线拟合的截面特征识别方法。
The space curves finally obtained are shown to be curvature continuous. The error estimation of this method is also…
最终得到的空间曲线能达到曲率连续。对该方法的误差进行了分析，数值例子显示插值效果较好。
The space curves finally obtained are shown to be curvature continuous. The error estimation of this method is also…
最终得到的空间曲线能达到曲率连续。对该方法的误差进行了分析，数值例子显示插值效果较好。
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