A new study published on arXiv has validated the accuracy of smartphone-based photogrammetry for 3D body scanning, comparing it against a commercial depth-sensor-based scanner. The research found that a representative application, PolyCam, demonstrated strong agreement with the Fit3D ProScanner, with average biases below 16 mm and high correlation coefficients. Both systems were capable of capturing comparable longitudinal body-shape changes, suggesting that smartphone photogrammetry is a viable and accessible alternative for body-shape assessment. AI
IMPACT Validates smartphone photogrammetry for accessible 3D body scanning, potentially impacting healthcare and fitness applications.
RANK_REASON The cluster contains a research paper published on arXiv detailing the validation of a specific technology. [lever_c_demoted from research: ic=1 ai=0.4]
- alphaXiv
- arXiv
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- DagsHub
- Fit3D ProScanner
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- Hugging Face
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