Research On 3D Human Reconstruction Method For Virtual Fitting

In recent years,with the rapid development of the Internet,online shopping,a new consumption mode,has been born.Clothing products dominate online shopping,but online shopping experience is poor and lacks a realistic shopping environment.Consumers cannot try on online clothes,which leads to the return rate and complaint rate of online shopping is much higher than that of offline physical stores.In order to solve the problem that online clothes can not be tried on,virtual fitting technology came into being.Based on the above background,we have conducted research on the application of virtual fitting.The main work can be divided into four parts: First,in view of the limitations of the original 3D human body reconstruction method based on nonparameterized templates,we propose a dense sampling strategy based on key points and a multi-view collaborative training strategy.By adding additional supervision information,the model can learn more detailed features.Compared with the classical algorithm,the proposed algorithm has a significant improvement in the reconstruction of detailed features such as face,hand,and side body shape.Second,for the threedimensional human body reconstruction method based on the parameterized human body model,we propose a multi-view iterative registration strategy based on posture prior estimation.This strategy obtains the attitude prior value through a preprocessing model,and then optimizes the corresponding parameter value through multi-view iterative fitting,thereby accelerating the model convergence.Since the model can fully consider the contour posture information from different perspectives,the reconstructed human body model is closer to the real human body;Third,the parametric human body model is registered to the output model of the dense implicit function network.The registered model retains rich personalized details and is also flexible and controllable.Finally,the 3D virtual fitting application is realized by combining the digital clothing library,and the robustness of the virtual fitting algorithm in this thesis is verified from different angles.The experimental effect is good,and there is a certain application value for the virtual fitting in the future.