DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology
Dermatological practice routinely involves measuring and tracking lesion size, morphology and texture, as critical components of wound or skin cancer screening, monitoring and diagnosis. To accomplish this task, practitioners often image the skin surface with commonly available off-the-shelf camera sensors. This has led to an overwhelming research focus on 2D methods while these objectives naturally benefit from 3D information. In this paper, we demonstrate that dense monocular 3D reconstructions, metric scale measurements and rich surface normal texture estimates are achievable for both dermoscopic and macroscopic cases without the need for additional hardware or multiple captures. We pr...
| Authors | Héctor Carrión, Narges Norouzi |
|---|---|
| Primary category | cs.CV |
| Published | 14 July 2026 |
| Last updated at source | 15 July 2026 |
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- hcarrion/D-SynthDataset · cited by
Models and datasets referencing this paper
- hcarrion/D-SynthDataset
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