FootCapture: Towards an AR-based System for 3D Foot Object Acquisition through Photogrammetry

Valentin Khan-Blouki, Franziska Seiz, Nicolas Walter, Alexander Jaus, Zdravko Marinov, Gijs Luijten, Jan Egger, Constantin Marc Seibold, Dirk Solte, Jens Kleesiek, Rainer Stiefelhagen

Keywords: augmented reality, 3D object acquisition, foot monitoring, photogrammetry

Abstract:

The acquisition of accurate 3D models of feet is crucial in fields such as chronic foot wound monitoring, prosthetics design, and orthopedic surgery. However, obtaining precise models of patients' feet typically relies on manual measurements, which is both costly and prone to error. Addressing this need, we introduce FootCapture, a mobile application designed to facilitate the acquisition of precise photographic measurements. Our solution employs augmented reality to intuitively guide untrained users to capture comprehensive photographic data from the correct positions and angles, suitable to create a high-fidelity 3D model of the patient's foot using photogrammetry.
To validate our application's utility, we compared FootCapture with Apple's Guided Capture application in a user study with n=7 participants. The results showed FootCapture’s intuitive use and high robustness marking it as a tool worth considering for medical personnel.

Submission Number: 50