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Method for improving virtual human modeling accuracy in 3D clothing fitting software

A virtual human body and fitting technology, applied in biological neural network models, special data processing applications, instruments, etc., can solve problems such as large differences and affect the use effect of 3D fitting, and achieve the effect of improving accuracy and efficient generation.

Active Publication Date: 2014-06-25
SHANGHAI UNIV OF ENG SCI
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AI Technical Summary

Problems solved by technology

In the existing 3D fitting software, the personalized parameter modeling of the virtual human body is realized through the girth size and length size, and then through the subjective judgment of the human body shape, the body shape is fine-tuned, so that the generated virtual human body is consistent with the actual body shape The difference is large, which affects the final use effect of the three-dimensional fitting

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] Control the change of individual body shape adjustment parameters of the virtual human body in the three-dimensional fitting software, and observe the change rule of the virtual human body shape when the parameter changes. The observed results show that the body shape adjustment parameters in the three-dimensional fitting software are used to adjust the body shape of the seven human body parts of the virtual human body: shoulders, chest, abdomen, buttocks, side curves, chest and waist, and hips and waist. And there are 11 body shape adjustment parameters that have a great influence on the body surface, these parameters are: shoulder parameters, chest position parameters, chest peak distance parameters, abdominal parameters, body width parameters, hip width parameters, upper body length parameters, posture parameters, Lower body pose parameters, bottom body position parameters, and upper body pose parameters. The main effects of the above parameters on the body shape cha...

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Abstract

The invention discloses a method for improving virtual human modeling accuracy in 3D clothing fitting software. The method includes 1, selecting 11 figure modeling parameters affecting surface greatly to serve as BP neural network output parameters; 2, figuring out 36 figure feature parameters to serve as BP neural network input parameters; 3, establishing an initial model of a BP network in Matlab environment, acquiring an optimal network structure by means of network training, and establishing a nonlinear mapping relationship of the figure feature parameters and figure adjusting parameters; 4, analyzing the encoding manner of human parameter modeling interface files in the 3D clothing fitting software, and generating a customized virtual human based on a customized figure and human size. The method has the advantages that the personalized and customized human modeling requirements for clothing fitting evaluation can be met, efficient personalized human body generation from the figure feature parameters can be implemented, and the method can be widely applied to clothing customization platforms.

Description

technical field [0001] The invention relates to a method for improving the modeling precision of a virtual human body in three-dimensional fitting software, and belongs to the technical field of digitization of the clothing industry. Background technique [0002] With the continuous development of society and economy, people begin to pursue personalized clothing design, hoping to wear tailor-made clothing that conforms to their own body characteristics and aesthetics. Because each person's body shape, posture and skin color are different, and the aesthetic concept is also different, so in the current personalized clothing design and production process, it is necessary to observe the wearing effect of the clothes through personal fitting. In order to solve the trouble caused by personal fitting, there have been related virtual three-dimensional fitting software developed at home and abroad. The three-dimensional virtual fitting is an important means for the analysis and evalu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/02
Inventor 谢红顾瑶媛汪世奎李露曹蕊超
Owner SHANGHAI UNIV OF ENG SCI
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