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视觉系统的标定
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  calibration of vision system
     For improved surface mounter’s precision, that had researched the surface mounter’s vision system, includes vision system’s work principle, the calibration of vision system, mounting feedback principle and the calibration of mounting head.
     为了提高贴片精度,对贴片机的视觉系统进行了研究,包括贴片机视觉系统工作原理,视觉系统的标定,贴装反馈的原理和贴片头位置的校正。
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  “视觉系统的标定”译为未确定词的双语例句
     The camera calibration methods for machine vision system
     机器视觉系统的标定方法
     Hence, this paper mainly studied the calibration of the binocular cameras vision system and calibrated inner and outer parameters of binocular cameras vision system of the tomato harvesting robot, it could provide system parameters for confirming binocular cameras locating system of the tomato harvesting robot.
     为此,主要研究了番茄收获机器人双目视觉系统的标定,标定出了番茄收获机器人双目视觉系统的内部参数和外部参数,为番茄收获机器人双目定位系统提供了系统参数。
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     It includes the following contents:(1) It studies the principle of machine vision calibration, and uses calibration matrix groups of subjunctive grid to realize the method of collecting boundary edge of the object on the condition of using more CCD cameras.
     (1)研究了机器视觉系统的标定原理,提出了用虚拟网格标定矩阵组来实现多摄像机采集样件的边缘轮廓测取方法。
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     The relationship between image coordinate system and world coordinate system is confirmed by the calibrations of microassembly and visual systems.
     通过对微装配系统和视觉系统的标定,得到图像坐标系和世界坐标系的关系。
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     On the foundation of this, the paper designed a hyperboloid reflector based panoramic vision system and put it into practice, and designed a scheme on specified problems of hyperboloid reflector and panoramic vision system.
     在此基础上,本文对基于双曲面反射镜的全景视觉系统进行了设计,进行了实际的加工制作,并就双曲面反射镜和全景视觉系统的标定问题进行了方案设计。
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  相似匹配句对
     The camera calibration methods for machine vision system
     机器视觉系统标定方法
     Calibration for 3D Reconstruction System
     三维重构视觉系统标定
短句来源
     The precondition of accurate visual system is accurate camera calibration.
     摄像机标定是精确视觉系统前提。
短句来源
     Method for vision system calibration based on neural network
     基于神经网络视觉系统标定方法
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     The Sound Velocity Meter Calibration System
     声速仪标定系统
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It is vital to the calibration of vision systems to determine the coordinates of sample pairs of object points in 3D spare and their corresponding points in image plane. In order to improve the locating accuracy of the sample points, it is a common practice to utilize chessboard pattern, and use the intersection points as the sample points. As for the 3D vision system based on plane structure-light the sample points are required to be in the structure-light plane. So the above method cpu not be used. To solve...

It is vital to the calibration of vision systems to determine the coordinates of sample pairs of object points in 3D spare and their corresponding points in image plane. In order to improve the locating accuracy of the sample points, it is a common practice to utilize chessboard pattern, and use the intersection points as the sample points. As for the 3D vision system based on plane structure-light the sample points are required to be in the structure-light plane. So the above method cpu not be used. To solve this problem, we present a new calibration method whose theoretical basis is the cross-ratio invariance, and the method uses a specially designed calibration etalon block. Using this method, it is simple to determine the location of the sample points explicitly, based on these location data, we can finish the calibration of the vision system. The paper gives the experimental results and the calibration accuracy, and also presents the measures to improve the accuracy.

视觉系统的标定中,确定三维空间点与图象上对应点所组成的样本点对的坐标是问题的关键,为提高样本点的定位精度,通常采用棋盘格形状的图案,取其中的交点作为样本点.但在应用平面结构光的三维视觉系统中,样本点又必须在结构光平面中,无法应用上述方法,使得样本点的定位很困难,为了解决这一问题,我们提出了一种新的标定方法,该方法利用交比不变性原理,借助一块特殊设计的标定块,可以方便准确地确定样本点的位置.在此基础上完成了三维视觉系统的标定,文章给出了实验结果和标定精度,以及进一步提高精度的措施.

Camera calibration is the base of MIROSOT. There are complex nonlinear relationships between the 3D point and the matched image point. BP neural networks can realize any nonlinear relationship from input to output. A new algorithm of camera calibration using Levenberg Marquardt algorithm based on BP neural networks was applied in MIROSOT in this paper. The experimental results show that the algorithm is feasible.

摄像机标定是足球机器人 (MIROSOT)视觉系统的基础 .由于实际空间点的三维几何位置与其在图像中对应点之间的是一种复杂的非线性映射关系 ,而 BP网络它可以实现从输入到输出的任意的非线性映射 ,本文将BP网络应用于足球机器人视觉系统的标定 ,采用 L evenberg- Marquardt的学习算法 ,实验结果证明了该算法的可行性

On the basis of stereo vision, a method for visions system calibration based on neural network is proposed in this paper The once measurement area is calculated after the effective view field of binocular camera is analyzed Not only 3D information of the object is directly acquired, but also the relation between spatial points and image points is established by training the network without the parameters of the cameras calibrated, while the disparity of image pairs is inputted into the network Experiment...

On the basis of stereo vision, a method for visions system calibration based on neural network is proposed in this paper The once measurement area is calculated after the effective view field of binocular camera is analyzed Not only 3D information of the object is directly acquired, but also the relation between spatial points and image points is established by training the network without the parameters of the cameras calibrated, while the disparity of image pairs is inputted into the network Experiment results with panel curve surface are given to verify the method

为了解决摄像机标定存在的若干问题 ,根据立体视觉原理 ,提出了基于神经网络的双目视觉系统标定方法。通过对双目摄像机的有效视场分析 ,确定了一次测量面积 ,并把像对视差作为网络输入 ,建立空间点世界坐标与图像坐标非线性映射关系 ,使系统不经过复杂的摄像机内外参数标定 ,就能直接提取物体的三维信息 ,增加了系统的灵活性。实验证明 ,该方法有效可行

 
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