Application of augmented reality using automatic markerless registration for facial plastic and reconstructive

Young Chul Kim1, Chan-Ung Park2, Seok Joon Lee1

  • 1Department of Plastic and Reconstructive Surgery, Ulsan University College of Medicine, Asan Medical Center, Seoul, South Korea.

Summary

A novel markerless augmented reality (AR) system accurately visualizes facial anatomy for surgery. This system, using machine learning, achieves 1-2 mm registration errors, aiding reconstructive procedures.

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