Computer virtual fitting clothing model automatic alignment and size judgment method

Abstract

The invention discloses a computer virtual fitting clothing model automatic alignment and size judgment method. The method mainly aims at a 3D clothing model, automatic alignment of the clothing model and a human body model is realized by three-dimensional graphical calculation of the clothing model and the human body model, and whether the size of clothing is fit on the human body can be judged via simulation fitting and a fitting effect is given. The main steps of the method comprise judgment of the clothing model, automatic alignment of an upper clothing model, automatic alignment of a trouser model, collision detection and processing, size judgment and giving of the fitting result. The effect of automatic alignment of a certain type of clothing model can be achieved with no requirement for given parameters or manual judgment so that the method has certain generality and practicality.

Description

technical field [0001] The invention belongs to the technical field of computer graphics, and in particular relates to a method for automatic alignment and size judgment of a virtual fitting clothing model in a computer. Background technique [0002] In recent years, virtual fitting has become a hot issue in the field of virtual reality. As online shopping becomes more and more popular today, the virtual fitting system can provide consumers with more convenient services. , Take off, change, and wear clothes one by one, and there is no need to queue for a long time. [0003] In the virtual fitting technology, an important link is to try on the clothes, and how to align the human body model and the clothing model in the process is the first step. In the current research situation at home and abroad, most of the two-dimensional clothing cut pieces are stitched on the three-dimensional human body model to form the initial shape of the three-dimensional clothing. , and finally ...

AI Technical Summary

Problems solved by technology

However, automatic alignment is not implemented in the alignment method here. The displacement vector, rotation angle, etc. here cannot be adapted to all clothing models. For different models, fine-tuning parameters must be added after global position alignment and local posture adjustment. , through continuous experimentation, to find the appropriate value of fine-tuning parameters

Therefore, such a method cannot achieve the effect of automatic alignment

[0007] To sum up, the disadvantages of the existing methods mainly include: using CAD clothing data to pre-set the position of the clothing pieces requires more CAD clothing data, but some feature points cannot be directly provided by the CAD system and need to be manually inserted, which cannot be achieved. To achieve the "automatic" effect, when using sewing force for sewing, it is easy to deviate from the movement track of the sewing point due to the influence of other forces at the sewing point; using 3D clothing models, different clothing models need to be used when aligning Multiple experiments to find suitable fine-tuning parameters for alignment are not universal, and at the same time, the "automatic" effect cannot be achieved

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