This work introduces a novel method for the creation of an in-home virtual dressing room for garment fitting using an integrated system consisting of personalized 3D body model reconstruction and garment fitting simulation. Our method gives saliency to and establishes a relational interconnection between the massive scatter points on the 3D generic model. Starting with a small set of anthropometric interconnected ordered intrinsic control points residing on the silhouette of the projections of the generic model, corresponding control points on two canonical images of the person are automatically found – hence importing equivalent saliency between the two sets. Further equivalent saliencies between the projected points from the generic model and the canonical images are established through a loop subdivision process. Human shape mesh personalization is done through morphing the points on the generic model to follow and be consistent with their equivalent points on the canonical images. The 3D reconstruction yields sub resolution errors (high level accuracy) when compared to the average resolution of the original model using the CAESAR dataset. The reconstructed model is then fitted with garments sized to the 3D personalized model given at least one frontal image of the garment with no requirement for a full 3D view of the garment. Our method can also be applied to virtual fitting system for online stores and/or for clothing design and personalized garment simulation. The method is convenient, simple, efficient, and requires no intervention from the user aside from taking two images with a camera or smart phone.

这项工作介绍了一种新颖的方法，该方法使用集成化系统创建用于服装试衣的家庭虚拟更衣室，该系统包括个性化3D人体模型重建和服装试衣模拟。我们的方法使3D泛型模型的大量散点之间显着并建立了关系互连。从位于人体模型投影轮廓上的一小撮人体测量互连的有序内在控制点开始，会自动在人的两个规范图像上找到对应的控制点-因此在两组之间导入等效的显着性。通过循环细分过程，可以建立通用模型的投影点与规范图像之间的其他等效显着性。人体形状网格的个性化是通过使通用模型上的点变形以遵循并与规范图像上的等效点保持一致来完成的。与使用CAESAR数据集的原始模型的平均分辨率相比，3D重构会产生子分辨率误差（高级别精度）。然后，在给定服装的至少一个正面图像的情况下，将重构的模型装配有尺寸适合3D个性化模型的服装，而不需要服装的完整3D视图。我们的方法还可以应用于在线商店的虚拟试衣系统和/或服装设计和个性化服装仿真。该方法方便，简单，高效，除了用相机或智能手机拍摄两个图像外，不需要用户干预。