4.5 Article

Branch points in one-dimensional Gaussian scale space

期刊

JOURNAL OF MATHEMATICAL IMAGING AND VISION
卷 13, 期 3, 页码 193-203

出版社

SPRINGER
DOI: 10.1023/A:1011241531216

关键词

scale space; branch points; reconstruction; representation; real algebra; heat polynomial

向作者/读者索取更多资源

Scale space analysis combines global and local analysis in a single methodology by simplifying a signal. The simplification is indexed using a continuously varying parameter denoted scale. Different analyses can then be performed at their proper scale. We consider evolution of a polynomial by the parabolic partial differential heat equation. We first study a basis for the solution space, the heat polynomials, and subsequently the local geometry around a branch point in scale space. By a branch point of a polynomium we mean a scale and a location where two zeros of the polynomial merge. We prove that the number of branch points for a solution is [n/2] for an initial polynomial of degree it. Then we prove that the branch points uniquely determine a polynomial up to a constant factor. Algorithms are presented for conversion between the polynomial's coefficients and its branch points.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据