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A method for increasing 3D body scanning's precision: Gryphon and consecutive scanning.

Christopher J Parker¹, Simeon Gill², Adrian Harwood³

¹School of Design and Creative Arts, Loughborough University, Loughborough, UK.

|May 19, 2021

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The Gryphon algorithm significantly improves 3D body scanning precision for custom garment creation. By removing extreme measurements and using consecutive scans, 97.5% of data meets ISO 20685 standards, making it suitable for fashion and ergonomics.

Area of Science:

Anthropometry
Apparel Design
Metrology

Background:

Current 3D body scanning technology lacks the precision required by the International Organization for Standardization (ISO) 20685:2010 for custom garment pattern generation.
Existing 3D scanning methods produce measurements that frequently fall outside acceptable tolerances, hindering their application in the fashion industry.

Purpose of the Study:

To develop and validate an algorithm, Gryphon, to enhance the precision of 3D body scanning measurements.
To assess the impact of consecutive versus non-consecutive data capture on scanning precision.
To determine if the Gryphon algorithm and consecutive scanning can achieve ISO 20685:2010 tolerances.

Main Methods:

The Gryphon algorithm was developed, which removes the two most extreme measurements from five consecutive 3D body scans.

Keywords:

3D body scanning anthropometrics measurement precision reliability

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A study involving 97 participants was conducted, analyzing 121 industry-standard measurements under both consecutive and non-consecutive scanning conditions.

Multivariate analysis of variance (MANOVA) was employed to statistically analyze the data and assess precision against ISO 20685:2010 tolerances.

Main Results:

Under current industry practices, only one of 121 measurements met ISO 20685 tolerances.
The Gryphon algorithm, combined with consecutive scanning, resulted in 97.5% of measurements meeting ISO 20685 tolerances.
The study confirmed that in-scan body movement does not significantly impact the reliability of 3D body scan data.

Conclusions:

The Gryphon algorithm, when used with consecutive 3D body scanning, dramatically increases measurement precision to meet international standards.
This method provides an accessible solution for the fashion industry, ergonomists, and practitioners to achieve reliable anthropometric data.
Consecutive data capture is essential for obtaining 3D body scan data suitable for anthropometric applications and custom apparel design.