Image Mosaic Algorithm Based on Camera Calibration

张金玲; 孙汉旭; 贾庆轩; 刘亚辉

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Image Mosaic Algorithm Based on Camera Calibration

更新时间：2026-09-14

- Image Mosaic Algorithm Based on Camera Calibration
- 基于相机标定的图像拼接算法
- Vol. 29, Issue 6, Pages: 575-579(2008)
- 作者机构：
  
  北京邮电大学自动化学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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张金玲, 孙汉旭, 贾庆轩, et al. Image Mosaic Algorithm Based on Camera Calibration[J]. 2008, 29(6): 575-579.
DOI：

张金玲, 孙汉旭, 贾庆轩, et al. Image Mosaic Algorithm Based on Camera Calibration[J]. 2008, 29(6): 575-579. DOI：

摘要

针对现有图像拼接算法在配准精度和速度方面的不足

提出了一种利用相机标定信息和相位相关技术相结合的图像配准方法

并给出了算法的详细推导过程.算法通过相机标定获得投影矩阵、相机坐标系间的旋转变换矩阵和平移向量.利用相机坐标系间的旋转矩阵推导对应图像间的旋转变换公式

通过z轴位移及场景的平均景深近似求解图像间的缩放系数

利用相位相关法求解图像间的平移转换参数.实验结果证明该算法理论推导正确

在有效景深范围较小情况下图像拼接准确

对于分辨率为640×480的输入数据

平均拼接速度能够达到26.8 m s.

Abstract

An image mosaic solution based on camera calibration and phase correlation is put forward to improve the accuracy and speed of image matching in stitching algorithm

the deducing steps are introduced.Camera calibration is done to get internal projection matrix of cameras and the rotation transformation matrix and translation vector between two camera coordinate system.Rotation transformation matrix is used to analyze the rotation transformation equation between the corresponding image pair

translation value on z axis and the average scene depth are used together to calculate the approximative scaling parameter of image pair

and then

phase correlation algorithm is used to get the translation parameters. The simulation result proved that the theory analysis is correct

and stitching result is good in the instance that the effective depth scale of scene is relatively small.For input data with resolution of 640×480

the average mosaic speed is 26.8ms.

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references

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Shum H Y,Szeliski R.Construction of panoramic image mosaics with global and local alignment[J].InternationalJournal of Computer Vision,2000,36(2):101-130.

钟力,胡晓峰.重叠图像拼接算法[J].中国图象图形学报,1998,3(5):367-370.Zhong Li,Hu Xiaofeng.Stitching algorithm for overlapping images[J].Journal of Image and Graphics,1998,3(5):367-370.(in Chinese)

Gao Guandong,Jia Kebin.A new image mosaics algorithm based on feature points matching[C].In Proceedings ofthe Second International Conference on Innovative Computing,Information and Control,2007:401-404.

Keller Y,Averbuch A,Israeli M.Pseudo-polar based estimation of large translations rotations and scalings inimages[C].Proceedings of the IEEE Workshop on Motion and Video Computing,2005,2:201-206.

方俊伟,翟超,金熠.相位相关法实现图像拼接的仿真与优化[J].计算机应用与软件,2008,25(1):207-208.Fang Junwei,Zhai Chao,Jin Yi.Simulation and optimization of phase correlation algorithm in image mosaics[J].Computer Applications and Software,2008,25(1):207-208.(in Chinese)

Kuglin C D,Hines D C.The phase correlation image alignment method[C].New York:IEEE Conference onCybernetics and Society,1975:163-165.

李勤,俞信.适合于生物图像的图像融合算法研究[J].光学学报,2000,20(4):494-500.Li Qin,Yu Xin.Study of image fusion methods appropriated to biological images[J].Acta Optica Sinica,2000,20(4):494-500.(in Chinese)

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