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Development of Camera Model and Calibration Procedure for an Oblique-Viewing Endoscope

机译:斜视内窥镜相机模型和标定程序的开发

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摘要

This paper proposes a camera projection model for an oblique-viewing endoscope, intended for application to an extended virtual reality system. The oblique-viewing endoscope differs from the forward-viewing endoscope by the fact that the view field can be shifted by rotating the scope cylinder. The projection model proposed in this study describes the systematic relation between the rotation angle of the scope cylinder and the external parameters of the camera model. A calibration method is also proposed for estimating the parameters of the projection model, and its accuracy is investigated. The oblique-viewing projection model is derived as an extension of the general pinhole camera model by adding two axes of rotation as parameters and using the angle of rotation of the scope cylinder as the input. In the experiment, an abdominal endoscope is used as the real equipment. A rotary encoder with an angular resolution of 0.25° is used to input the rotation angle of the scope cylinder. The accuracy is examined by the above condition for a scope cylinder rotation angle of 0 to 132°. The average projection error in the proposed model is 2.4 pixels. When the parameters needed in the model are not estimated, the error is increased to 5 to 8 pixels compared to the case in which they are estimated. It is thus shown that the parameters of the proposed model are indispensable in the description of the actual oblique-viewing endoscope. Even if the number of data points for each angle is 2, an accuracy such that the average error is less than 2.8 pixels is obtained.
机译:本文提出了一种用于斜视内窥镜的摄像机投影模型,旨在应用于扩展的虚拟现实系统。斜视内窥镜与前视内窥镜的不同之处在于,可以通过旋转镜筒来移动视场。在这项研究中提出的投影模型描述了镜筒的旋转角度与摄像机模型的外部参数之间的系统关系。还提出了一种用于估计投影模型参数的校准方法,并研究了其准确性。通过添加两个旋转轴作为参数并使用观察镜筒的旋转角度作为输入,可以将斜视投影模型推导出来,作为一般针孔摄像机模型的扩展。在实验中,腹腔镜被用作实际设备。角度分辨率为0.25°的旋转编码器用于输入观察镜筒的旋转角度。通过上述条件检查瞄准镜气缸旋转角度为0到132°的精度。该模型的平均投影误差为2.4像素。当未估计模型中所需的参数时,与估计参数的情况相比,误差增加到5到8个像素。因此表明,在实际的斜视内窥镜的描述中,所提出的模型的参数是必不可少的。即使每个角度的数据点的数量为2,也可以获得使平均误差小于2.8像素的精度。

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