Anatomic Scanning Using the Structure Sensor 3 and the Structure SDK - 25.17
Title:
Anatomic Scanning Using the Structure Sensor 3 and the Structure SDK
Authors:
Paulo E. X. SILVEIRA, Anton TOKAR, Dmitry GLADYSHEV, Jane MULLIGAN, Ravi SHAH
Structure, Boulder, CO, USA
Full paper:
Keywords:
3D body scanning, 3D reconstruction, anthropometrics, computer vision, SDK
Abstract:
We present the Structure Sensor 3, an RGB-D stereo vision sensor optimized for anatomic scanning, along with the Structure Software Development Kit (SDK), a sophisticated SDK capable of precise 3D reconstruction using a range of depth sensors. We discuss features that set the Structure Sensor 3 apart from other sensors, including its operation at a wavelength that enables the filtering of sunlight, its ease of integration and use with a wide range of iOS devices, its robustness, accuracy and multiple presets, including unique ones that benefit from improvements in the signal-to-noise-ratio (SNR), frame rate and latency made possible by pixel binning. We also discuss the sensor's unique ability to filter pixels in the depth map based on its confidence threshold.
Next, we discuss how the Structure SDK was expanded and improved to support the Structure Sensor 3 while maintaining backward compatibility with Structure's long legacy of 3D sensors while being capable of easily integrating future sensors. We then discuss the Structure SDK's ability to effectively support 3rd-party sensors, such as Apple's TrueDepth and LiDAR sensors. Finally, we discuss the Structure SDK's ability not only to be easily integrated into iOS apps but also future plans to expand its use to other operating systems.
DOI:
https://doi.org/10.15221/25.17
How to Cite (MLA):
Silveira, Paulo E. X., et al., "Anatomic Scanning Using the Structure Sensor 3 and the Structure SDK", 3DBODY.TECH Journal, vol. 2, Dec. 2025, #17, https://doi.org/10.15221/25.17
Presentation:
Video availble in 3DBODY.TECH 2025 Proceedings - 25.17
Details:
Volume/Issue: 3DBODY.TECH Journal - Vol. 2, 2025
Paper: #17
Published: 2025/12/31
Presented at: 3DBODY.TECH 2025, 21-22 Oct. 2025, Lugano, Switzerland
Proceedings: 3DBODY.TECH 2025 Proceedings
License/Copyright notice
Copyright © 2025 by the author(s).
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