In the first chapter, we introduce linear camera model and some general knowledge and several traditional methods of camera calibration, such as Direct linear Transformation and two-step method etc.
第一章介绍了线性摄像机模型以及摄像机定标的一般性知识和几种常见的传统定标方法，比如直接线性变换方法和两步法等。
Self calibration of a camera with a linear model (hereafter called a linear camera) has become one of the major research directions in computer vision field.
线性(小孔)模型摄像机自标定，目前已成为计算机视觉领域的研究热点之一。
A linear method for camera parameter calibration is studied by the mathematical model of camera on the basis of projective theory.
利用透镜成像理论建立摄像机数学模型，提出了一种线性求解摄像机内外参数的方法。
The parameters of the camera and the projector are simultaneously estimated by using non-linear least-square estimation model, whose outputs contain the estimated parameters and their accuracys.
摄像头和投射器参数同时采用非线性最小二乘估计模型进行估计，其输出包含被估计的参数及其准确度；
To increase the reality of a virtual camera in sensor simulation, this paper proposes a camera simulation method based on a linear calibration model.
为了提高传感器仿真中虚拟摄像机的仿真真实度，该文在标定算法线形模型的基础上，提出一种基于标定技术的虚拟摄像机仿真方法。
The traditional linear model in the camera calibration of head position tracking has a relatively lower calibration precision while the exact head position parameters cannot be obtained.
在头位跟踪的摄像机标定中，传统的线性模型标定精度低，不能精确获得头部位置参数。
When modeling, it is proposed that local camera is ideal linear, used pinhole imaging theory to model, don't consider its distortion.
在建模时，认为前景摄像头是理想的线性镜头，不考虑其畸变，运用针孔成像原理进行建模。
For not considering the non-linear deformation in linear model camera calibration, projection matrix (PM) con-tains calibration error that affects the precision of3D reconstruction.
线性模型摄像机标定中，由于不考虑非线性畸变，使投影矩阵存在着标定误差，并影响三维重建的精度。
For not considering the non-linear deformation in linear model camera calibration, projection matrix (PM) con-tains calibration error that affects the precision of3D reconstruction.
线性模型摄像机标定中，由于不考虑非线性畸变，使投影矩阵存在着标定误差，并影响三维重建的精度。
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