The sizing of ready-to-wear apparel is typically based on the body shape of human models that are hired by apparel companies. However, the differences in body shape of a consumer versus the model result to a certain degree, a loss of fit. To ensure optimum fit of a targeted population, sizing systems should minimize aggregate loss of fit. In a recently published paper in the Textile Research Journal co-authored by Prof. Jintu Fan, Head of ITC, Prof. Susan Ashdown, Emerita Professor of Cornell University and their PhD student, Jie Pei, a novel fit-loss function was proposed to identify differences between three dimensional scanned models of the human body so as to optimize the fit of ready-to-wear apparel with a limited number of sizes. The concept was then tested on intimate apparel. The paper can be accessed by visiting: https://journals.sagepub.com/doi/full/10.1177/0040517519901318
The preparation of scans.
- Self-defined bust and underbust planes
- Moiré patterns as a reference to determine the upper boundary of breasts
- The coordinates of the missing points were replaced by NaN's
- The scan after processing (Points on the bust plane at z = 0 were highlighted in red)
