首页> 外文会议>Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on >On template-based reconstruction from a single view: Analytical solutions and proofs of well-posedness for developable, isometric and conformal surfaces
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On template-based reconstruction from a single view: Analytical solutions and proofs of well-posedness for developable, isometric and conformal surfaces

机译:从单一角度进行基于模板的重建:可解决的,等距和共形曲面的解析解和适定性证明

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Recovering a deformable surface''s 3D shape from a single view registered to a 3D template requires one to provide additional constraints. A recent approach has been to constrain the surface to deform quasi-isometrically. This is applicable to surfaces of materials such as paper and cloth. Current ‘closed-form’ solutions solve a convex approximation of the original problem whereby the surface''s depth is maximized under the isometry constraints (this is known as the maximum depth heuristic). No such convex approximation has yet been proposed for the conformal case. We give a unified problem formulation as a system of PDEs for developable, isometric and conformal surfaces that we solve analytically. This has important consequences. First, it gives the first analytical algorithms to solve this type of reconstruction problems. Second, it gives the first algorithms to solve for the exact constraints. Third, it allows us to study the well-posedness of this type of reconstruction: we establish that isometric surfaces can be reconstructed unambiguously and that conformal surfaces can be reconstructed up to a few discrete ambiguities and a global scale. In the latter case, the candidate solution surfaces are obtained analytically. Experimental results on simulated and real data show that our methods generally perform as well as or outperform state of the art approaches in terms of reconstruction accuracy.
机译:从注册到3D模板的单个视图中恢复可变形曲面的3D形状需要提供其他约束。最近的方法是约束表面准等距变形。这适用于纸和布等材料的表面。当前的“封闭形式”解决方案可以解决原始问题的凸近似,从而在等轴测图约束下将表面的深度最大化(这称为最大深度启发式算法)。对于保形情况,尚未提出这种凸近似。我们给出了统一的问题表述,作为针对可解析,等距和共形曲面的PDE系统,我们对其进行了解析。这具有重要的后果。首先,它给出了第一个分析算法来解决这类重建问题。其次,它给出了解决精确约束的第一种算法。第三,它使我们能够研究这种类型的重建的适定性:我们确定等距曲面可以被明确地重建,而保形曲面可以被重建到几个离散的模糊度和整体规模。在后一种情况下,可以通过分析获得候选解表面。在模拟数据和真实数据上的实验结果表明,就重构精度而言,我们的方法通常能达到或优于现有方法。

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