SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos
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 reconstruct...
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Main Authors | , , , , , |
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Format | Journal Article |
Language | English |
Published |
28.07.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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DOI: | 10.48550/arxiv.2407.19652 |