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Efficient Multi-Scale Registration of 3D Reconstructions Based on Camera Center Constraint

机译:基于相机中心约束的3D重建高效多尺度注册

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Recent approaches for reconstructing 3D scenes from image collections only produce single scene models. To build a unified scene model that contains multiple subsets, we present a novel method for registration of 3D scene reconstructions in different scales. It first normalizes the scales of the models building on similarity reconstruction by the constraint of the 3D position of shared cameras. Then we use Cayley transform to fit the matrix of coordinates transformation for the models in normalization scales. The experimental results show the effectiveness and scalability of the proposed approach.
机译:最近从图像集合重建3D场景的方法只生成单个场景模型。为了构建包含多个子集的统一场景模型,我们提出了一种新的方法,用于在不同的尺度中注册3D场景重建。它首先通过共享相机的3D位置的约束来规范相似性重建的模型的尺度。然后,我们使用Cayley变换来适合归一化尺度模型的坐标转换矩阵。实验结果表明了所提出的方法的有效性和可扩展性。

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