Transformation polytopes for line correspondences in digital images

被引：0

作者：

Teelen, Kristof ^{[1
]}

Veelaert, Peter ^{[1
]}

机构：

[1] Engn Sci Ghent Univ Assoc, Univ Coll Ghent, B-9000 Ghent, Belgium

来源：

COMBINATORIAL IMAGE ANALYSIS | 2008年 / 4958卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an uncertainty model for geometric transformations, based on polygonal uncertainty regions and transformation polytopes. The main contribution of this paper is a systematic approach for the computation of regions of interest for features by using the uncertainty model. The focus is on the solution of transformation problems for geometric primitives, especially lines, so that regions of interest can be computed for corresponding geometric features in distinct images.

引用

页码：238 / 249

页数：12

共 11 条

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[3]

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[10]

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