隐式多项式曲线的信息建模研究进展

On Summarization of Information Modeling Based on Implicit Polynomial Curves

用隐式多项式曲线来描述数据点集合轮廓具有天然的优势,尤其是在数据点集合轮廓的拟合过程中体现得更为明显。概括了基于隐式多项式曲线的信息建模研究现状,侧重于目前国内外各种隐式多项式曲线拟合算法的分析以及优劣比较。以多个图像物体数据点集合轮廓为例,使用各种拟合算法对其进行拟合,并给出了拟合的效果,分析了算法的优劣和改进措施以及以后的研究方向。

It has many advantages for implicit polynomial curves to describe data set boundary,more obviously in fitting data point.This paper surveyed the current studies on information modeling based on implicit polynomial curves,focused on the comparison of the various implicit polynomials curves fitting algorithm,then,taking an example of image objects boundary,analyzed the effect of curves fitting algorithm,advantages and disadvantages of them,method improving and study trends.