Model-based recognition of 2D objects in perspective images

被引：0
|
作者：
Wirtz S. [1 ]
Paulus D. [1 ]
机构：
[1] University Koblenz, D-56070 Koblenz
来源：
Pattern Recognition and Image Analysis | 2011年 / 21卷 / 2期
关键词：
Hash Table; Perspective Image; Symbolic Description; Geography Markup Language; Base Image Analysis;
D O I：
10.1134/S105466181102115X
中图分类号：
学科分类号：
摘要：
We report on a case study showing that using symbolic descriptions to recognize objects in perspective images delivers similar results as heuristic or statistical methods. The knowledge is modeled in TGraphs which are typed, attributed, and ordered directed graphs. We combined the search in the state space with a maximum weight bipartite graph-matching and in consequence we were able reduce the numerous amount of hypotheses. Furthermore we used hash tables to increase the runtime efficiency. As a result we are able to show that model based object recognition using symbolic descriptions is on a competitive basis. © 2011 Pleiades Publishing, Ltd.
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收藏
页码：361 / 364
页数：3
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