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The development of a low-cost photogrammetry-based 3D hand scanner
Yusheng Yang1,2, Jun Xu1, Willemijn S Elkhuizen1
1Delft University of Technology, The Netherlands.
Hardwarex
|May 24, 2022
Summary
This study introduces a low-cost, 50-camera photogrammetry system for accurate 3D hand scanning. The developed system achieves high precision, making 3D hand scanning more accessible for applications like personalized product design.
Area of Science:
- Engineering
- Computer Vision
- Biomedical Imaging
Background:
- Accurate 3D scanning of human hands is difficult due to complex geometry and motion instability.
- Existing 3D scanners can be expensive and complex to operate.
Purpose of the Study:
- To develop a low-cost, modular photogrammetry-based 3D scanner specifically for capturing human hand geometry.
- To evaluate the accuracy and usability of the proposed hand scanner.
Main Methods:
- Constructed a scanner with 50 Raspberry Pi modules, each equipped with an 8-megapixel camera, arranged in parallel frames.
- Employed a timestamp method to synchronize camera shutters within 80 ms, minimizing hand motion artifacts.
- Validated accuracy by comparing scans of a 3D printed prosthetic hand against an Artec Spider® scanner.
Main Results:
- The scanner captures at least 96% of the hand surface with a minimum of 3 camera views.
- Achieved a mean absolute error of 0.62 ± 0.28 mm when compared to a high-end scanner.
- Demonstrated ease of assembly through its modular design and user-friendly operation via WiFi connection.
Conclusions:
- The proposed photogrammetry system offers a low-cost and accurate solution for 3D human hand scanning.
- This technology has potential applications in personalized product design, prosthetics, and virtual reality.
