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An Efficient Geometric Method for 3D Reconstruction Based on Images

机译:基于图像的3D几何重构方法

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In this article, a new geometric method for 3D reconstruction based on images is presented. The main advantage of this method is low data storage requirement and high computation process efficiency. The key mathematical methods are curve and surface modeling technology. In order to implement geometric method for 3D reconstruction, a new surface is developed named as rational W-spline surface via tensor product, through the important properties of the basis function, the authors get the important properties of the rational surface. By giving the new control matrix and the change of the parameters based on the images, 3D reconstruction effect can be obtained. This surface includes non-rational surface and rational surface, and their tensor product forms are adopted. In order to express this algorithm intuitively, the bilinear W-spline surface is realized by the experiment. The experimental results showed that the geometric method can be used to the 3D reconstruction.
机译:本文提出了一种基于图像的3D重构几何方法。该方法的主要优点是数据存储需求低,计算过程效率高。关键的数学方法是曲线和曲面建模技术。为了实现用于3D重建的几何方法,通过张量积开发了一个称为有理W样条曲面的新曲面,通过基函数的重要性质,作者获得了有理曲面的重要性质。通过给出新的控制矩阵和基于图像的参数改变,可以获得3D重建效果。该表面包括非理性表面和有理表面,并采用它们的张量积形式。为了直观地表达该算法,通过实验实现了双线性W样条曲面。实验结果表明,几何方法可以用于3D重建。

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