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Research on Interval Constraint Range Domain Algorithm for 3D Reconstruction Algorithm Based on Binocular Stereo Vision

机译:基于双目立体视觉的3D重构区间约束范围域算法研究

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摘要

For 3D reconstruction algorithm based on binocular stereo vision only approximately restores the 3D shape of the object, but it does not analyze the performance of using 3D reconstruction algorithm based on the model of binocular stereo vision measuring distance device to restore object, an interval constraint range domain algorithm is proposed in this paper. In this paper, this algorithm finds the boundary points of the object, the performance of using 3D reconstruction algorithm to restore object depends on the proportion of the number of points that fall within the constraint interval to the total number of points. The interval constraint range domain algorithm analyzes the performance of the 3D reconstruction algorithm to recover the object, that is, analyzes the measurement accuracy of the algorithm. Under the condition of the resolution of the image sensor used in the algorithm is identical, the simulation results show that the accuracy of the algorithm is determined by the spacing of the image sensor, the position, and shape of the constraint interval.
机译:对于基于双目立体声视觉的三维重建算法仅恢复对象的3D形状,但它不会根据双目立体视觉测量距离设备模型来分析使用3D重建算法的性能来恢复对象,间隔约束范围本文提出了域算法。在本文中,该算法找到了对象的边界点,使用3D重建算法来恢复对象的性能取决于将在约束间隔内落入的点数的点数的比例。间隔约束范围域算法分析了3D重建算法恢复对象的性能,即分析算法的测量精度。在算法中使用的图像传感器的分辨率的情况下,模拟结果表明,算法的精度由约束间隔的图像传感器,位置和形状的间隔确定。

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