A Shape-Aware Total Body Photography System for In-focus Surface Coverage Optimization
Journal:
arXiv
Published Date:
May 22, 2025
Abstract
Total Body Photography (TBP) is becoming a useful screening tool for patients
at high risk for skin cancer. While much progress has been made, existing TBP
systems can be further improved for automatic detection and analysis of
suspicious skin lesions, which is in part related to the resolution and
sharpness of acquired images. This paper proposes a novel shape-aware TBP
system automatically capturing full-body images while optimizing image quality
in terms of resolution and sharpness over the body surface. The system uses
depth and RGB cameras mounted on a 360-degree rotary beam, along with 3D body
shape estimation and an in-focus surface optimization method to select the
optimal focus distance for each camera pose. This allows for optimizing the
focused coverage over the complex 3D geometry of the human body given the
calibrated camera poses. We evaluate the effectiveness of the system in
capturing high-fidelity body images. The proposed system achieves an average
resolution of 0.068 mm/pixel and 0.0566 mm/pixel with approximately 85% and 95%
of surface area in-focus, evaluated on simulation data of diverse body shapes
and poses as well as a real scan of a mannequin respectively. Furthermore, the
proposed shape-aware focus method outperforms existing focus protocols (e.g.
auto-focus). We believe the high-fidelity imaging enabled by the proposed
system will improve automated skin lesion analysis for skin cancer screening.
