Camera Calibration Method Based on Maximum Likelihood Estimation

被引：0
|
作者：
Yoshioka, Michifumi [1 ]
Omatu, Sigeru [1 ]
机构：
[1] Osaka Pref Univ, Osaka, Japan
来源：
DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS | 2009年 / 5518卷
关键词：
Camera calibration; 3D measurements; Maximum likelihood estimation; VISION;
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：
The 3D measurement methods are very important in many fields. In particular, the methods based on 3D reconstruction from camera images are actively studied because these are passive detection methods and does not require expensive equipments. However, in order to achieve high accuracy, camera parameter calibration is very important. In this paper, we have proposed a new calibration method based on maximum likelihood estimation and confirmed the effectiveness by experiments.
引用
收藏
页码：616 / 620
页数：5
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