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Three-dimensional reconstruction using the perpendicularity constraint

机译:使用垂直度约束进行三维重建

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This paper proposes a new method for calculating the Euclidean 3D structure of a scene using only two uncalibrated images and the basic Euclidean constraint resulting from the 3D perpendicularity. Instead of using the nonlinear self-calibration methods to estimate the intrinsic parameters, a linear search for the best values of these parameters is carried out. The criteria measuring the goodness of the intrinsic parameters'' values is based on the Euclidean quality of the calculated 3D reconstruction using the 3D perpendicularity constraint. Experimental results on both simulated and real data have validated our method and have shown that the proposed method could be a better alternative to calibration-based reconstrcution.
机译:本文提出了一种仅使用两个未经校准的图像和3D垂直度产生的基本欧几里得约束来计算场景的欧几里得3D结构的新方法。代替使用非线性自校准方法来估计固有参数,而是对这些参数的最佳值进行线性搜索。衡量内在参数值的优劣的标准是基于使用3D垂直度约束计算出的3D重构的欧几里德品质的。在模拟和真实数据上的实验结果都验证了我们的方法,并表明该方法可以更好地替代基于标定的重构。

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