A new linear algorithm for calibrating central catadioptric cameras

被引：47
|
作者：
Wu, Fuchao [1 ]
Duan, Fuqing [1 ,2 ]
Hu, Zhanyi [1 ]
Wu, Yihong [1 ]
机构：
[1] Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
[2] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
来源：
PATTERN RECOGNITION | 2008年 / 41卷 / 10期
基金：
中国国家自然科学基金;
关键词：
central catadioptric camera; calibration;
D O I：
10.1016/j.patcog.2008.03.010
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel linear calibration algorithm based on lines is presented for central catadioptric cameras. We firstly derive the relationship between the projection on the viewing sphere of a space point and its catadioptric image. And then by the relationship we establish a group of linear constraints on the catadioptric parameters from the catadioptric projections of spatial lines. By using these linear constraints, any central catadioptric camera can be fully calibrated from a single view of three or more lines without prior knowledge on the camera. Extensive experiments show this algorithm can improve the calibration's robustness. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3166 / 3172
页数：7
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