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Research on Binocular Camera Calibration Technology Based on the BP Neural Network Algorithm

机译:基于BP神经网络算法的双目相机校准技术研究

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Camera calibration is an important field of computer vision. It is widely used in 3d reconstruction, navigation, vision surveillance and other fields. It is the key technology of stereo vision. Binocular stereo vision camera calibration based on BP neural network is proposed on the basic of analysis the traditional calibration algorithm together with characteristics of camera calibration and neural networks. Finally, data generated by BP algorithm and the actual data were compared and analyzed through test.
机译:相机校准是计算机视觉的重要领域。它广泛用于3D重建,导航,视觉监控等领域。它是立体声愿景的关键技术。基于BP神经网络的双目立体视觉相机校准是关于分析传统校准算法的基础与相机校准和神经网络的特征。最后,通过测试进行比较和分析由BP算法生成的数据和实际数据。

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