...
首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A geometric approach for the analysis and computation of the intrinsic camera parameters
【24h】

A geometric approach for the analysis and computation of the intrinsic camera parameters

机译:相机固有参数分析和计算的几何方法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The authors of this paper adopted the projected characteristics of the absolute conic in terms of the Pascal's theorem to propose an entirely new camera calibration method based on purely geometric thoughts. The use of this theorem in the geometric algebra framework allows us to compute a projective invariant using the conics of only two images which expressed using brackets helps us to set enough equations to solve the calibration problem. The method requires restricted controlled camera movements. Our method is less sensitive to noise as the Kruppa's-equation-based methods. Experiments with simulated and real images confirm that the performance of the algorithm is reliable. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 26]
机译:本文的作者根据帕斯卡定理采用了绝对圆锥的投影特性,提出了一种基于纯粹几何思想的全新摄像机标定方法。在几何代数框架中使用该定理,使我们能够仅使用两幅图像的圆锥形来计算投影不变式,并使用方括号表示,这有助于我们设置足够的方程式来解决校准问题。该方法要求受限制的摄像机运动。我们的方法对噪声的敏感性不如基于Kruppa方程的方法。模拟和真实图像的实验证明了该算法的性能可靠。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:26]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号