Solution of plenty of marks in photogrammetry by bundle adjustment

QIAN Bo-xing; LIANG Jin; GUO Nan; GONG Chun-yuan; FENG Chao

doi:10.3788/OPE.20152313.0133

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Solution of plenty of marks in photogrammetry by bundle adjustment

更新时间：2020-08-13

- Solution of plenty of marks in photogrammetry by bundle adjustment
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 134-139(2015)
- 作者机构：
  
  西安交通大学机械工程学院,陕西西安,710049
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0133
  CLC： P234.1
- Received：22 June 2015，
  
  Revised：15 July 2015，
  
  Published：14 November 2015
- 稿件说明：
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千勃兴, 梁晋, 郭楠等. 摄影测量中大量标志点的光束平差求解[J]. 光学精密工程, 2015,23(10z): 134-139

QIAN Bo-xing, LIANG Jin, GUO Nan etc. Solution of plenty of marks in photogrammetry by bundle adjustment[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 134-139
千勃兴, 梁晋, 郭楠等. 摄影测量中大量标志点的光束平差求解[J]. 光学精密工程, 2015,23(10z): 134-139 DOI： 10.3788/OPE.20152313.0133.

QIAN Bo-xing, LIANG Jin, GUO Nan etc. Solution of plenty of marks in photogrammetry by bundle adjustment[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 134-139 DOI： 10.3788/OPE.20152313.0133.

摘要

讨论了工业摄影测量中需要计算大量标志点时的处理方法。针对待求点数目较多的情况

研究了光束平差法的优化步骤。首先

分析了逐点法化消元在平差计算中的应用

将引起镜头畸变的10个内参数均参与平差优化

从而提高了平差优化的精度;其次

采用随机函数在空间选取较多数目的标志点进行平差

通过局部多次平差优化

使求解结果接近全局平差的水平。提出的平差思路避免了传统计算将所有点参与平差造成内存不足使计算中止的问题

且计算速度较快。最后

对这种方法进行了实验验证

两组实验标志点的数目分别为1 360和896

三维重建后的重投影误差为0.076和0.107 1。结果显示提出的方法精度较高

能够满足实际测量需求。

Abstract

How to calculate a plenty of marks in close range industrial photogrammetry was discussed. The optimization method of bundle adjustment was proposed when the number of marks was large. Firstly

the application of the elimination point by point in adjustment calculation was analyzed. The accuracy of adjustment optimization was improved by introducing 10 camera intrinsic parameters of lens distortion. Then

the random function was used to select many marks in the space for bundle adjustment. After several times of partial adjustment optimization

the result could be very close to the level of global adjustment optimization. This way of adjustment not only overcomes the difficulty on out of memory and calculation interrupt in traditional calculation

but also has a high computation speed. Finally

two experiments with 1 360 and 896 marks were performed and the results show that reprojection errors are 0.076 and 0.107 1 after reconstruction respectively. It indicates that the method has a great accuracy and can be used in the actual measurement.

关键词

Keywords

references

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冯鹏飞. 基于稀疏矩阵的自检校光束法平差相机检校研究 [D].西安:西安科技大学,2014. FENG P F. Research on Camera Calibration of Self-calibration Bundle Adjustment Based on Sparse Matrix[D].Xi'an:Xi'an University of Science and Technology, 2014. (in Chinese)

郑建冬. 基于单数码相机的三维摄影测量理论与关键技术研究 [D].南京:南京航空航天大学,2013. ZHENG J D. Research on the Theory and Key Techniques of 3D Photogrammetry with One Single Hand-held CCD Camera[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2013. (in Chinese)

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