论文标题
更好的贴片针迹用于参数表面重建
Better Patch Stitching for Parametric Surface Reconstruction
论文作者
论文摘要
最近，参数映射已成为高效的表面表示，产生了低重建误差。特别是，最新作品代表目标形状作为多个映射的地图集，可以密切编码对象部分。但是，ATLAS表示遭受了一个主要缺点：不能保证单个映射是一致的，这会导致重建形状或锯齿状的表面区域的孔。 我们介绍了一种明确鼓励当地映射的全球一致性的方法。为此，我们介绍了两个新颖的损失术语。第一个期限利用表面正态，并要求在估计单个映射内和跨越各个映射时它们在局部保持一致。第二学期进一步鼓励了通过最大程度地减少新缝线误差来更好地对映射进行更好的空间配置。我们在标准基准上表明，正常一致性要求的使用量优于基准，而实施更好的缝线则可以使重建对象的视觉质量更好，而不是最先进的对象。
Recently, parametric mappings have emerged as highly effective surface representations, yielding low reconstruction error. In particular, the latest works represent the target shape as an atlas of multiple mappings, which can closely encode object parts. Atlas representations, however, suffer from one major drawback: The individual mappings are not guaranteed to be consistent, which results in holes in the reconstructed shape or in jagged surface areas. We introduce an approach that explicitly encourages global consistency of the local mappings. To this end, we introduce two novel loss terms. The first term exploits the surface normals and requires that they remain locally consistent when estimated within and across the individual mappings. The second term further encourages better spatial configuration of the mappings by minimizing novel stitching error. We show on standard benchmarks that the use of normal consistency requirement outperforms the baselines quantitatively while enforcing better stitching leads to much better visual quality of the reconstructed objects as compared to the state-of-the-art.
