Calibration Methods Based on Space Perspective Related Point

李凯; 王鉴; 韩焱; 张丕壮

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Calibration Methods Based on Space Perspective Related Point

更新时间：2026-09-14

- Calibration Methods Based on Space Perspective Related Point
- 基于空间透视相关点的摄像机标定方法
- Issue S1, Pages: 135-138(2007)
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- Published：2007
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李凯, 王鉴, 韩焱, et al. Calibration Methods Based on Space Perspective Related Point[J]. 2007, (S1): 135-138.
DOI：

李凯, 王鉴, 韩焱, et al. Calibration Methods Based on Space Perspective Related Point[J]. 2007, (S1): 135-138. DOI：

摘要

摄影测量中

相机标定具有很重要的作用

它是图像识别、3D感知及目标姿态计算的基础.传统的标定算法具有算法简单、线形计算、适应性强的特点

然而由于相机标定模块的复杂性和不确定性

传统标定算法不能很好地体现其优越性.本文根据应用实践

采用空间透视标定模块

将传统的标定算法所需要的标定点和空间透视点对应

得到了较好的标定结果.该标定模块的结构信息可准确地获得标定点的世界坐标值

有效地防止了实际测量中先期标定点的确定所引入的误差.

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references

Belongie S,Malik J,Puzicha J.Shape matching and object recognition using shape contexts[J].IEEE Transactionson Pattern Analysis and Machine Intelligence,2002,24(4):509-522.

Armstrong M,Zisserman A,Hartley R.Euclidean reconstruction from image triplets[C].European Conference onComputer Vision,1996:3-16.

吴文琪,孙增圻.机器视觉中的摄像机定标方法综述[J].计算机应用研究,2004(2):4-6.

刘勇.基于图像的空间三维数据获取及建模[D].武汉大学,2004.

宋长波.基于线特征的立体视觉匹配研究[D].武汉大学,2004.

Faugeras O,Quan L,Sturm P.Self-calibration of a 1D projective camera and its application to the selfcalibration ofa 2D projective camera[C].European Conference on Computer Vision,Freiburg,Germany,June 1998:36-52.

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