Image-based aircraft pose estimation using moment invariants

被引：3
|
作者：
Breuers, MG [1 ]
机构：
[1] TNO, Phys & Elect Lab, NL-2509 JG The Hage, Netherlands
来源：
AUTOMATIC TARGET RECOGNITION IX | 1999年 / 3718卷
关键词：
moment invariants; pose estimation; computer vision;
D O I：
10.1117/12.359963
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
The problem of estimating aircraft pose information from mono-ocular image data is considered using two different pose estimation algorithms. Both algorithms are based on the rotation invariant moment approach that was introduced by Dudani. The dependence of pose estimation accuracy on image resolution and aspect angle was investigated through simulations using sets of synthetic aircraft images. It is shown that increased pose-estimation accuracy can be obtained by breaking the nearest neighbour search procedure in two parts.
引用
收藏
页码：294 / 304
页数：11
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