SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos

Remi Chierchia, Leo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz; Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 4205-4214

Managing chronic wounds is a global challenge that can be alleviated by the adoption of automatic systems for clinical wound assessment from consumer-grade videos. While 2D image analysis approaches are insufficient for handling the 3D features of wounds existing approaches utilizing 3D reconstruction methods have not been thoroughly evaluated. To address this gap this paper presents a comprehensive study on 3D wound reconstruction from consumer-grade videos. Specifically we introduce the SALVE dataset comprising video recordings of realistic wound phantoms captured with different cameras. Using this dataset we assess the accuracy and precision of state-of-the-art methods for 3D reconstruction ranging from traditional photogrammetry pipelines to advanced neural rendering approaches. In our experiments we observe that photogrammetry approaches do not provide smooth surfaces suitable for precise clinical measurements of wounds. Neural rendering approaches show promise in addressing this issue advancing the use of this technology in wound care practices.