Name
Abstract | ||
|---|---|---|
This paper focuses on shape average with applications to the apparel industry. Apparel industry uses a consensus sizing system; its major concern is to fit most of the population into it. Since anthropometric measures do not grow linearly, it is important to find prototypes to accurately represent each size. This is done using random compact mean sets, obtained from a cloud of 3D points given by a scanner and applying to the sample a previous definition of mean set. Additionally, two approaches to define confidence sets are introduced. The methodology is applied to data obtained from a real anthropometric survey. Estimation of mean bodies using means of random compact setsMean sets as mannequinsUsing random compact sets for aided apparel design |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.imavis.2016.04.016 | Image Vision Comput. |
Keywords | Field | DocType |
Mean set,Confidence set,Apparel design,Anthropometric survey | Population,Data mining,Clothing,Compact space,Scanner,Sizing,Mathematics,Cloud computing | Journal |
Volume | Issue | ISSN |
52 | C | 0262-8856 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Domingo | 1 | 3319 | 258.54 |
| A. Simó | 2 | 102 | 11.24 |
| Maria Victoria Ibáñez | 3 | 1 | 1.36 |
| Esther Dura | 4 | 8 | 3.60 |
| Guillermo Ayala | 5 | 95 | 16.13 |
| Sandra Alemany | 6 | 39 | 5.08 |