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Design and implementation of virtual fitting system based on gesture recognition and clothing transfer algorithm.

Ying Wu1,2, Hongbing Liu1, Pengzhen Lu3

  • 1Jiaxing Nanhu University, Jiaxing, 314001, Zhejiang Province, China.

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Summary

This study introduces an improved virtual fitting system using Microsoft Kinect for better human-computer interaction and clothing simulation. The system enhances user immersion and provides a more convenient and engaging virtual try-on experience.

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Virtual Reality

Background:

  • Virtual fitting systems aim to provide convenient try-on experiences.
  • Existing systems suffer from poor human-computer interaction and low accuracy in posture recognition.
  • Traditional mouse-and-keyboard interfaces limit user immersion and sense of presence.

Purpose of the Study:

  • To develop a real-time interactive virtual fitting system with enhanced immersion.
  • To address limitations in human-computer interaction and clothing simulation.
  • To improve the user experience in virtual try-on applications.

Main Methods:

  • Implemented a virtual fitting system utilizing the Microsoft Kinect motion sensing device.
  • Developed a gesture determination algorithm based on finger recognition.
  • Proposed an image transfer algorithm using skeleton information matching.
  • Employed OpenNI development library and multi-threading technology for system development.

Main Results:

  • The developed system provides a real-time interactive virtual fitting experience.
  • Gesture recognition and skeleton matching algorithms improve interaction accuracy.
  • System testing indicated a positive and immersive user experience.

Conclusions:

  • The Kinect-based virtual fitting system offers a superior alternative to traditional methods.
  • The proposed algorithms enhance the realism and interactivity of virtual fitting.
  • This system significantly improves customer immersion and overall fitting experience.