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3D Reconstruction of Non-Rigid Surfaces in Real-Time Using Wedge Elements

机译:使用楔形元素实时对非刚性表面进行3D重建

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We present a new FEM (Finite Element Method) model for the 3D reconstruction of a deforming scene using as sole input a calibrated video sequence. Our approach extends the recently proposed 2D thin-plate FEM+EKF (Extended Kalman Filter) combination. Thin-plate FEM is an approximation that models a deforming 3D thin solid as a surface, and then discretizes the surface as a mesh of planar triangles. In contrast, we propose a full-fledged 3D FEM formulation where the deforming 3D solid is discretized as a mesh of 3D wedge elements. The new 3D FEM formulation provides better conditioning for the rank analysis stage necessary to remove the rigid boundary points from the formulation. We show how the proposed formulation accurately estimates deformable scenes from real imagery even for strong deformations. Crucially we also show, for the first time to the best of our knowledge, NRSfM (Non-Rigid Structure from Motion) at 30Hz real-time over real imagery. Real-time can be achieved for our 3D FEM formulation combined with an EKF resulting in accurate estimates even for small size maps.
机译:我们提出了一种新的FEM(有限元方法)模型,用于将变形视频的3D重建作为唯一输入,使用经过校准的视频序列。我们的方法扩展了最近提出的2D薄板FEM + EKF(扩展卡尔曼滤波器)组合。薄板有限元法是一种近似模型,用于将变形的3D薄实体建模为表面,然后将其离散为平面三角形的网格。相反,我们提出了一种成熟的3D FEM公式,其中将变形的3D实体离散为3D楔形元素的网格。新的3D FEM公式为从公式中删除刚性边界点所需的秩分析阶段提供了更好的条件。我们展示了所提出的公式如何即使在强烈变形的情况下也能从真实图像中准确估计可变形场景。最重要的是,我们还首次据我们所知,在真实图像上实时显示了30Hz的NRSfM(运动非刚性结构)。我们的3D FEM公式结合EKF可以实现实时,即使对于小尺寸的地图也可以得出准确的估计。

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