Foot Landmark Detection with Structure - 25.18
Title:
Foot Landmark Detection with Structure
Authors:
Jane MULLIGAN, Kazi MIFTAHUL HOQUE, Anton TOKAR, Dmitry GLADYSHEV, Paulo E. X. SILVEIRA
Structure, Boulder, CO, USA
Full paper:
Keywords:
foot anthropometrics, anatomic landmarks, metatarsals, orthotics
Abstract:
Characterization and measurement of foot shape is an important tool in the design and customization of shoes and orthotics. Advances in 3D scanning technology provide the opportunity to automate and improve the accuracy and objectivity of these assessments, as well as support a streamlined manufacturing process by moving easily from 3D model to 3D printer. The Structure SDK provides robust and accurate 3D mesh reconstruction using iPhone TrueDepth, LiDAR, or Structure Sensor devices. In addition, Structure apps provide markerless foot anthropometrics analysis to identify landmarks and metrics on the mesh, including length, width, girth, anterior transverse, lateral and medial arch lengths, and arch height of the foot. To evaluate the accuracy and reliability of our automated foot shape analysis, we first established ground truth measurements for a realistic model foot, then acquired repeated Structure 3DFootScan app scans and metrics for the model. The process was repeated for each of 6 Apple TrueDepth devices (iPhones and iPads) and all three generations of the Structure Sensor. The resulting measurements were analyzed with respect to the reference data to quantify the performance of the system.
DOI:
https://doi.org/10.15221/25.18
How to Cite (MLA):
Mulligan, Jane, et al., "Foot Landmark Detection with Structure", 3DBODY.TECH Journal, vol. 2, Dec. 2025, #18, https://doi.org/10.15221/25.18
Presentation:
Video availble in 3DBODY.TECH 2025 Proceedings - 25.18
Details:
Volume/Issue: 3DBODY.TECH Journal - Vol. 2, 2025
Paper: #18
Published: 2025/12/31
Presented at: 3DBODY.TECH 2025, 21-22 Oct. 2025, Lugano, Switzerland
Proceedings: 3DBODY.TECH 2025 Proceedings
License/Copyright notice
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