A Two-step Algorithm for Estimating the Posture of Cameras Located in different points of View

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A Two-step Algorithm for Estimating the Posture of Cameras Located in different points of View

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- A Two-step Algorithm for Estimating the Posture of Cameras Located in different points of View
- Optics and Precision Engineering Vol. 16, Issue 10, Pages: 1982-1987(2008)
- 作者机构：
  
  中国电子科技集团公司第四十一研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：02 January 2008，
  
  Revised：17 March 2008，
  
  Published Online：25 October 2008，
  
  Published：25 October 2008
- 稿件说明：
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向长波,谢丹,宋建中. 估计多视点摄像机姿态的两步法[J]. 光学精密工程, 2008,16(10):1982-1987

A Two-step Algorithm for Estimating the Posture of Cameras Located in different points of View[J]. Optics and precision engineering, 2008, 16(10): 1982-1987.
向长波,谢丹,宋建中. 估计多视点摄像机姿态的两步法[J]. 光学精密工程, 2008,16(10):1982-1987 DOI：

A Two-step Algorithm for Estimating the Posture of Cameras Located in different points of View[J]. Optics and precision engineering, 2008, 16(10): 1982-1987. DOI：

摘要

本文提出一种估计多个视点位置上的摄像机姿态的新算法，即两步估计法。该算法首先采用第一、二两幅图像上的特征匹配点重建出物体的局部模型，然后以局部模型作为世界坐标系的中心，利用物体模型上的空间点与图像特征点的对应关系，求解每个视点位置上的摄像机姿态。真实图像的实验结果表明，本文所提算法是有效的，重建模型上特征点的重投影误差小于1个象素。

Abstract

This paper proposed a new algorithm intituled a two-step method to estimate the posture of cameras located in multi-point of view. Firstly

the algorithm reconstructed the local 3D models of an object with the feature points in the first and second images. Secondly

the world coordinate frame was centered at local 3D models of the object

and every posture of the camera was estimated from the correspondences between the 3D feature points and the image feature points of the object. Experimental results on real images showed that the presented method is effective and the error of re-projection was less than 1 pixel.

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Related Institution

School of Mechanical Engineering， Hebei University of Technology

Shenzhen International Graduate School， Tsinghua University

Cooperation Department of Chang'an University， State Key Laboratory of Geographic Information Engineering

College of Geological Engineering and Geomatics， Chang'an University

ISVision（Hangzhou） Technology Co.， Ltd.

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