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   三维视觉检测 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.008秒
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三维视觉检测
相关语句
  3 d vision inspection
    Based on Radial Based Function (RBF) neural network, a method of structured light based 3 D vision inspection is presented.
    研究了基于RBF神经网络的结构光三维视觉检测方法。
短句来源
  “三维视觉检测”译为未确定词的双语例句
    A Study of Structured Light Based 3-D Vision Inspection Using RBF Neural Network
    基于RBF神经网络的结构光三维视觉检测方法研究
短句来源
    The application of multicolor pseudo-random encoded array in active visual inspection
    彩色伪随机阵列在主动三维视觉检测中的应用
短句来源
    Therefore, 3D vision detection instruments based on structured light have wondrously and important background in application.
    因此,结构光三维视觉检测方法及设备应用背景极其重要。
短句来源
    The Way of How to Compute the Geometry Central of Single Light Line in 3D Measuring
    三维视觉检测中单光条几何中心位置的确定方法
短句来源
    A Calibration Method for Structured Light 3-D Vision Systems
    结构光三维视觉检测系统的标定方法研究
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Based on Radial Based Function (RBF) neural network, a method of structured light based 3 D vision inspection is presented. This method uses RBF ANN (Artificial Neural Network) to establish the mapping relationship between a world coordinate system and an image coordinate system. Compared with general methods, it ignores the vision modeling error, and also allows the exist of optical adjustment error. It overcomes the disadvantages of general methods efficiently, and ensures the vision inspection to have much...

Based on Radial Based Function (RBF) neural network, a method of structured light based 3 D vision inspection is presented. This method uses RBF ANN (Artificial Neural Network) to establish the mapping relationship between a world coordinate system and an image coordinate system. Compared with general methods, it ignores the vision modeling error, and also allows the exist of optical adjustment error. It overcomes the disadvantages of general methods efficiently, and ensures the vision inspection to have much high measurement accuracy.

研究了基于RBF神经网络的结构光三维视觉检测方法。该方法利用了RBF网络良好的非线性映射能力以及学习、泛化能力 ,通过采用高精度样本数据训练RBF网络 ,最终建立起了用于结构光三维视觉检测的RBF网络模型。与常规方法相比 ,它不需要考虑视觉模型误差、光学调整误差等因素对视觉检测系统测量精度的影响 ,因而能够有效地克服常规建模方法的不足 ,保证了检测系统具有较高的精度

Traditional method often need complicated mathematical model,and the neural network method can't tell the perspective-projection-transformation matrix between the world 3-D points and the corresponding 2-D image pixels.A new calibration method for structured light system is propoed in this paper,which using the BP neural network and the linear calibration method and utilize the multilayer feed-forward neural network to compensate the nonlinear error of structured light system brought by lens distortion,etc.The...

Traditional method often need complicated mathematical model,and the neural network method can't tell the perspective-projection-transformation matrix between the world 3-D points and the corresponding 2-D image pixels.A new calibration method for structured light system is propoed in this paper,which using the BP neural network and the linear calibration method and utilize the multilayer feed-forward neural network to compensate the nonlinear error of structured light system brought by lens distortion,etc.The experiments results show that the method we proposed is feasible,effective,and has high anti-noise ability.

提出了一种新的结构光三维视觉检测系统的标定方法,将BP神经网络和线性标定方法结合起来,用线性标定方法标定结构光系统的线性部分,用BP神经网络来描述该结构光系统的其他部分。结果表明:该方法结合了神经网络和线性标定方法的优点,不仅给出了结构光三维检测系统中CCD相机的内部和外部参数,而且利用神经网络的非线性逼近能力,补偿由于镜头径向畸变、切向畸变等因素引起的系统非线性误差,并且精度高、抗噪声能力强及鲁棒性好。

 
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