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Smartphone 3D body scanning validated against commercial scanners

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]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Smartphone 3D body scanning validated against commercial scanners

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ruting Cheng, Boyuan Feng, Chuhui Qiu, Joaquin A. Calderon, Qing Pan, Yufan Liu, James K. Hahn ·

    Validation of Smartphone-Based Photogrammetric 3D Body Scanning for Automated Anthropometric Measurements Compared with a Commercial Depth-Sensor-Based Body Scanner

    arXiv:2608.12827v1 Announce Type: new Abstract: 3D body scanning has become an important tool in healthcare applications because of its rapid and non-invasive nature. While smartphone-based photogrammetric reconstruction provide a low-cost and accessible alternative to commercial…