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3D Garment Human Body Feature Point Recognition and Size Measurement Based on SURF Algorithm

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  • Xiaojia Ding

    (Zhengzhou Academy of Fine Arts, China)

Abstract

This study investigates 3D human body feature point recognition and size measurement technology based on the speeded up robust features (SURF) algorithm. By integrating 3D scanning technology with the SURF algorithm, the research aims to achieve efficient and accurate recognition of human body feature points and precise size measurement. The study addresses parameter optimization of the SURF algorithm in 3D data, feature point matching strategies, and size measurement algorithms based on these points. The results are expected to provide reliable technical support for personalized clothing customization and to advance the digital and intelligent transformation of the clothing manufacturing industry.

Suggested Citation

  • Xiaojia Ding, 2025. "3D Garment Human Body Feature Point Recognition and Size Measurement Based on SURF Algorithm," Information Resources Management Journal (IRMJ), IGI Global, vol. 38(1), pages 1-11, January.
    • Handle: RePEc:igg:rmj000:v:38:y:2025:i:1:p:1-11
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    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.377610
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