共查询到18条相似文献,搜索用时 62 毫秒
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相机镜头焦距自动测量系统的设计及精度分析 总被引:1,自引:1,他引:1
提出了一种以线阵CCD传感器取代读数显微镜,以8253可编程芯片实现自动测量并实时显示测量结果的相机镜头焦距测量系统,论述了系统的工作原理和软硬件的实现,分析了系统的测量误差;证明了系统的可行性和先进性,系统具有较高的实用价值和应用前景。 相似文献
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基于CCD的航空相机镜头焦距自动测量系统 总被引:4,自引:1,他引:4
介绍了一种以线阵CCD固态传感器取代读数显微镜 ,能自动测量和实时显示结果的航空相机镜头焦距测量系统 ,论述了系统的工作原理、软件和硬件的设计及该系统的测量误差 相似文献
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由于光学镜头会产生几何畸变,并且摄像机成象平面与景物平面间存在着倾角和转角,因而光学镜头摄像机获取的图象存在着非线性的几何畸变,在对图象进行检测和定量分析之前,应消除这些畸变。为此,应用多项式变形技术和双线性插值方法,研究了一种摄像机拍摄图象几何畸变的修正方法,并讨论了控制点的选取方法。实验结果表明,应用三次多项式变形技术,选取少量控制点即可得到理想的校正结果。该方法简便实用,可用于固定条件下摄像 相似文献
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热电偶冷端温度补偿的一种新方法ANewMethodofThermocoupleCold-JunctionCompensation●胡渭标HuWeibiao热电偶测温在工业上应用非常广泛。目前普遍采用的热电偶冷端温度补偿方法是:用两根相应的补偿导线,将... 相似文献
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摄像机标定与图像畸变修正是摄影测量、视觉检测、计算机视觉等领域的重点研究课题之一,在测绘、工业控制、导航、军事等领域得到了极大的应用。研究了摄像机模型,摄像机标定等内容。对DLT的标定方法进行了改进,在摄像机模型中全面考虑了镜头的畸变,利用图像中心附近点畸变量较小的性质,提出一种摄像机内外部参数和像差修正参数分离的标定方法。并举例说明了基于同一物体的两幅图画三维重构的具体实验步骤和方法,分析了影响精度的因素。 相似文献
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用结构设计软件SolidWorks建立某空间相机镜头的精确几何模型,在几何模型的基础上进行力学模型简化,并使用Patran建立相机镜头的有限元模型,然后使用MSC Nastran对该相机镜头进行静力分析、模态分析和随机振动分析,分析结果与试验结果误差小于5%. 相似文献
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Some aspects of zoom lens camera calibration 总被引:3,自引:0,他引:3
Mengxiang Li Lavest J.-M. 《IEEE transactions on pattern analysis and machine intelligence》1996,18(11):1105-1110
Zoom lens camera calibration is an important and difficult problem for two reasons at least. First, the intrinsic parameters of such a camera change over time, it is difficult to calibrate them on-line. Secondly, the pin-hole model for single lens system can not be applied directly to a zoom lens system. In this paper, we address some aspects of this problem, such as determining principal point by zooming, modeling and calibration of lens distortion and focal length, as well as some practical aspects. Experimental results on calibrating cameras with computer controlled zoom, focus and aperture are presented 相似文献
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Simple and efficient method of calibrating a motorized zoom lens 总被引:3,自引:0,他引:3
Yong-Sheng Chen Sheng-Wen Shih Yi-Ping Hung Chiou-Shann Fuh 《Image and vision computing》2001,19(14):1099-1110
In this work, three servo motors are used to independently control the aperture, zoom, and focus of our zoom lens. Our goal is to calibrate, efficiently, the camera parameters for all the possible configurations of lens settings. We use a calibration object suitable for zoom lens calibration to deal with the defocusing problem. Instead of calibrating the zoom lens with respect to the three lens settings simultaneously, we perform the monofocal camera calibration, adaptively, over the ranges of the zoom and focus settings while fixing the aperture setting at a preset value. Bilinear interpolation is used to provide the values of the camera parameters for those lens settings where no observations are taken. The adaptive strategy requires the monofocal camera calibration only for the lens settings where the interpolated camera parameters are not accurate enough, and is hence referred to as the calibration-on-demand method. Our experiments show that the proposed calibration-on-demand method can provide accurate camera parameters for all the lens settings of a motorized zoom lens, even though the camera calibration is performed only for a few sampled lens settings. 相似文献
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基于图像点满足的特定直线方程以及相邻图像点之间距离相等的性质,对标定模板图像进行校正,并通过改进的张正友标定法,提出了一种新的使用校正模板的非线性摄像机标定方法。与现存的方法进行比较发现,该方法能够实现较高精度的摄像机标定,鲁棒性比较强,且能够大大地降低算法的复杂度。 相似文献
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In this paper, we discuss the problem of estimating parameters of a calibration model for active pan–tilt–zoom cameras. The variation of the intrinsic parameters of each camera over its full range of zoom settings is estimated through a two step procedure. We first determine the intrinsic parameters at the camera’s lowest zoom setting very accurately by capturing an extended panorama. The camera intrinsics and radial distortion parameters are then determined at discrete steps in a monotonically increasing zoom sequence that spans the full zoom range of the camera. Our model incorporates the variation of radial distortion with camera zoom. Both calibration phases are fully automatic and do not assume any knowledge of the scene structure. High-resolution calibrated panoramic mosaics are also computed during this process. These fully calibrated panoramas are represented as multi-resolution pyramids of cube-maps. We describe a hierarchical approach for building multiple levels of detail in panoramas, by aligning hundreds of images captured within a 1–12× zoom range. Results are shown from datasets captured from two types of pan–tilt–zoom cameras placed in an uncontrolled outdoor environment. The estimated camera intrinsics model along with the cube-maps provides a calibration reference for images captured on the fly by the active pan–tilt–zoom camera under operation making our approach promising for active camera network calibration. 相似文献
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提出了一种新的结合摄影测量和计算机视觉相关理论的摄像机自标定方法。首先通过序列图像的匹配点对,利用计算机视觉理论中的8点法求得摄像机基础矩阵F,通过矩阵F利用Kruppa方程求得矩阵C,对矩阵C进行Cholesky分解得到摄像机的内参数矩阵K,然后将求出的内参数作为初始值,利用摄影测量理论进行相对定向和绝对定向,最小二乘前方交会计算得到匹配点对的三维空间坐标,最后由匹配点对的三维空间坐标及其图像坐标,采用三维直接线性变换和光束法平差方法解算出摄像机内、外参数及畸变系数。该方法不依赖于特定的场景几何约束条件,只要序列图像之间有匹配点对,就可以进行自标定工作,具有广泛的适用性。模拟数据和真实图像的实验结果表明:该方法计算过程简单,标定精度高,是一种值得借鉴的摄像机自标定方法。 相似文献