Simulated Local Deformation & Focal Length Optimisation For Improved Template-Based 3D Reconstruction of Non-Rigid Objects

Michał Bednarek, K. Walas
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Abstract

Non-rigid objects 3D reconstruction is a complex problem, which solution has many practical implications for graphics, robotics or augmented reality. One of the approaches to the problem is template-based, where the reference mesh, deformed over time, is used. To achieve improvement in the quality of reconstruction of the non-rigid object, we implemented two novel concepts - Simulated Local Deformation (SLD) and focal length optimisation. In this paper, we combine them together. SLD successfully enlarges the number of correspondences, hence improving the reconstruction process. Additionally, 3D reconstruction also depends on reprojection error. To minimise this measure, we propose to optimise focal length simultaneously with the reconstruction process. As a result, we achieved improved reconstruction when compared to the state-of-the-art solution.
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基于改进模板的非刚性物体三维重建的模拟局部变形和焦距优化
非刚性物体的三维重建是一个复杂的问题,其解决方法对图形学、机器人技术或增强现实具有许多实际意义。解决该问题的方法之一是基于模板的,其中使用随时间变化的参考网格。为了提高非刚性物体的重建质量,我们实现了两个新概念-模拟局部变形(SLD)和焦距优化。在本文中,我们将它们结合在一起。SLD成功地扩大了对应的数量,从而改善了重建过程。此外,三维重建还依赖于重投影误差。为了尽量减少这一措施,我们建议在重建过程中同时优化焦距。因此,与最先进的解决方案相比,我们实现了更好的重建。
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