基于测地线的2D到3D服装匹配
From 2D to 3D Geodesic-based Garment Matching
摘要：
提出了一种基于高斯混合模型和薄板样条（TPS）的二维到三维服装纹理重构方法。将个人的自动分割的服装与新的源服装匹配并渲染，从而产生增强图像，其中目标服装已经通过使用源服装的纹理被重新纹理化。我们将问题分为基于高斯混合模型的服装边界匹配，然后使用通过测地线路径提取的表面拓扑插值内部点，这导致比标准方法更真实的结果。我们通过均方误差（MSE）定量评估和比较了我们的系统，并使用平均意见得分（MOS）定性，显示了我们收集的数据集上所提出的方法的好处。
英文摘要：
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment and rendered, resulting in augmented images in which the target garment has been retextured by using the texture of the source garment. We divide the problem into garment boundary matching based on Gaussian mixture models and then interpolate inner points using surface topology extracted through geodesic paths, which leads to a more realistic result than standard approaches. We evaluated and compared our system quantitatively by mean square error (MSE) and qualitatively using the mean opinion score (MOS), showing the benefits of the proposed methodology on our gathered dataset.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
