A 3D modeling method of real human body for personalized virtual fitting

Abstract

The invention discloses a real human body three-dimensional modeling method specific to personalized virtual fitting. According to the method, a video is used as input data; and several steps of feature matching, key frame selection, three-dimensional point cloud generation, template mapping, and texture mapping and the like are carried out to obtain a human body surface three-dimensional model. Because of the motion recovery structure technology, the reconstruction process is substantially simplified, the burdens of the data collection people and the collected people can be reduced, and the requirements on the instrument and equipment are reduced. Meanwhile, a precise reconstruction result can be obtained. A complete human body surface model is obtained based on template mapping; and thus the method has high robustness on the human body texture information missing and self-shielding. Therefore, only a plurality of control points need to be marked manually before template mapping from the data input to model output and other process is completed automatically. The model that is obtained based on reconstruction can be applied to the game and animation design, movie and television special efficacy, and personalized virtual fit and the like.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a real human three-dimensional modeling method for personalized virtual fitting. Background technique [0002] With the development of virtual reality technology, three-dimensional modeling of the human body has received more and more attention, and has become the basic link of technologies such as film and television special effects, animation simulation, and virtual fitting. Existing human body 3D surface reconstruction methods mainly include active measurement methods, parametric modeling methods and modeling methods based on depth images. [0003] The active measurement method refers to the use of laser scanners, structured light scanners and other equipment to scan the surface of the human body and obtain the three-dimensional coordinates of the point cloud. Using this type of equipment to obtain 3D information on the target surface is relatively straightforward, ...

AI Technical Summary

Problems solved by technology

However, since the human body is not a static rigid body target and lacks rich texture information, the 3D model obtained by the SFM algorithm is difficult to meet the requirements of practical applications in terms of accuracy and integrity, and cannot be directly used for 3D modeling of the human body.

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