基于射影重建的线性摄像机自标定方法

提出了一种基于射影重建的线性摄像机自标定方法.该方法只需要摄像机作一次纯平移运动和两次带旋转的任意运动即可.该方法有3个主要特点.第1,由于该方法是一种线性方法,所以避免了大多数非线性方法的局部极小问题.第2,该方法是一种基于射影重建的自标定方法,由于在射影重建过程中利用了所有图像的信息,因此比以前的方法具有更好的鲁棒性.第3,该方法对硬件设备几乎没有特殊要求,在实际应用中易于实现,比如人手持一个摄像机摄取一些图像即可.模拟实验和真实图像实验均证明了该方法的可行性.

A Linear Camera Self-Calibration Technique Based on Projective Reconstruction

In this paper, a linear camera self-calibration technique based on projective reconstruction is proposed. With the camera undergoing at least a pure translation and two arbitrary motions, all the five intrinsic parameters can be obtained. The novelties of the proposed method are three-fold. Firstly, it is a linear one, which does not involve any local minimum problem largely plagued non-linear calibration methods in the literature. Secondly, the proposed method is based on projective reconstruction. Its robustness is markedly increased since all the images are aligned in the projective reconstruction process. Thirdly, the proposed method does not require specialized hardware support, as a result, as a result, can be used in a wide range of applications. For example, in an extreme case, the camera can applicability and feasibility of the proposed method.