Computer Science ›› 2024, Vol. 51 ›› Issue (6A): 230600233-5.doi: 10.11896/jsjkx.230600233

• Interdiscipline & Application • Previous Articles     Next Articles

Study on Object Image Structure Algorithm of 3D Human Body Measurement System Based on Personalized Intelligent Customization of Clothing

WANG Yue, REN Jun, MA Fei, WU Long   

  1. College of Apparel and Art Design,Xi’an Polytechnic University,Xi’an 710048,China
  • Published:2024-06-06
  • About author:WANG Yue,born in 1986,Ph.D,lectu-rer.Her main research interests include clothing CAD technology and non-contact measurement technology of human body.
  • Supported by:
    Shaanxi Provincial Department of Education Youth Innovation Team Construction Research Program Project(22JP027).

Abstract: At present,the concept of personalized intelligent customization based on clothing in China is becoming increasingly perfect.However,in terms of automatic measurement of customer body size,China still lacks practical equipment and technology.The fundamental reason is that China’s clothing industry still lacks practical 3D human body measurement systems.Human body measurement has its own unique characteristics compared to other industrial product measurements.Based on the analysis of exis-ting optical 3D human body scanning measurement systems,this paper addresses the common problems of complex structural design and large volume in existing laser 3D human body scanning measurement systems.The principle design of a portable human body scanning measurement system is carried out,and a mathematical model of the system is established.This algorithm adopts an active pitch rotation scanning measurement method,which enables the system to obtain a larger measurement range in the vertical direction and obtain satisfactory 3D human point cloud data with the least number of devices,which is beneficial for saving space and reducing volume.

Key words: Anthropometry, Non-contact measurement, Personalized and customized clothing, Accuracy, Linear structured light measurement method

CLC Number: 

  • TP391.9
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