A new feature-points extraction algorithm is proposed, which USES least square method fitting contour curve and combines slope, curvature information to extract feature-points.
提出一种新的轮廓特征点提取方法，它利用最小二乘法拟合轮廓曲线，结合斜率、曲率信息提取特征点。
On the basis of short straight-line fitting, this dissertation USES the least-square method of curve matching to discern circle and straight line.
通过对离散点进行短线段拟合的基础上，再利用曲线拟合的最小二乘法对圆和直线进行二次拟合。
Based on introducing the principles of the least square conic fitting, this paper USES binary polynomial fitting for the attitude parameters. And an example has proved that this method is useful.
本文在介绍最小二乘曲线拟合原理的基础上，采用二元多项式对姿态参数进行平滑拟合，以实例验证了此方法的有效性。
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