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图学学报

• 视觉与图像 • 上一篇    下一篇

面向建筑物重建的相机标定方法研究

  

  • 出版日期:2012-08-31 发布日期:2015-07-28

Research on camera calibration used for building reconstruction

  • Online:2012-08-31 Published:2015-07-28

摘要: 由于灭点具有很多独特的几何属性且大量地存在于建筑物场景中,因此针
对建筑物重建,提出了一种基于灭点的相机标定方法。首先通过构造各种几何约束关系,如
灭点与相机矩阵间的关系、世界坐标原点和相机矩阵间的关系,逐步实现相机矩阵的度量重
建和欧氏重建,获得相机矩阵的值,然后通过分解相机矩阵得到相机的内外部参数。该方法
在标定过程中无须借助任何标定物,求解过程简单,标定速度快。实验结果表明,该方法可
以满足虚拟现实中建筑物场景重建的需要。

关键词: 基于图像的建模, 计算机视觉, 灭点, 相机矩阵, 针孔相机模型

Abstract: Vanishing point has many geometry attributes and exists abundantly in building
scenes, based on this, a camera calibration method is proposed using vanishing points, which is
especially used for building reconstruction. Lots of geometry constraints are discovered, such as
the constraint relationship between vanishing points and camera matrix, the origin of world
coordinate system and camera matrix. Then through matrix reconstruction and Euclid
reconstruction, the camera matrix is calculated. Through decomposition of this matrix, the inner
and outer parameters of the camera are achieved. In this method, no calibration object is needed;
besides, it also has the advantage of simple calculation process, high calibration speed.
Experiments show that it can meet the needs of building reconstruction in virtual reality system.

Key words: image based modeling, computer vision, vanishing point, camera matrix;
pinhole camera model