Kidsize: always get the right size! @3DBody.Tech 1st Dec 2016

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Information about Kidsize: always get the right size! @3DBody.Tech 1st Dec 2016

Published on December 5, 2016

Author: AlfredoBallesterFern

Source: slideshare.net

1. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Always get the right size! Alfredo Ballester & Ana Piérola

2. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland IBV is a private not-for-profit R&D organisation Product design consultancy for manufacturing industries Technology development partner for IT companies and Academia Apparel Sports Transport Health Safety Leisure Appliances Elderly Orthotics Conduction of 3D body scanning surveys Data-driven 3D modelling from scans (3D) images (2D) or body measurements (1D) Data analytics & services (measuring, shape analyses, size advice) Applications & hardware prototyping

3. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Introduction Body measuring app Size advice algorithms Validation & results Conclusions Ongoing work

4. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Introduction Body measuring app Size advice algorithms Validation & results Conclusions Ongoing work

5. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Why kidsize? Ingredients for size advice

6. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Proof-of-concept for Inditex Why kidsize? Brand exp. 41% 21% 64% / 55% Size guide 41% 5% 52% / 43% IBV model 86% 93% 83% / 93% SIZE SELECTION MODEL Fitting percention on body parts Size selection FITTING MOLDEL OF BODY PARTS FITTING PROBABILITY OF KEY AREAS CONTRIBUTION OF FITTING AREAS STAGE 2 SIZE RECOMENDED STAGE 1 FITTING PREDICTION ON KEY BODY PARTS Body measurements Garment sizes

7. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Proof-of-concept for Inditex Why kidsize? Brand exp. 41% 21% 64% / 55% Size guide 41% 5% 52% / 43% IBV model 86% 93% 83% / 93% SIZE SELECTION MODEL Fitting percention on body parts Size selection FITTING MOLDEL OF BODY PARTS FITTING PROBABILITY OF KEY AREAS CONTRIBUTION OF FITTING AREAS STAGE 2 SIZE RECOMENDED STAGE 1 FITTING PREDICTION ON KEY BODY PARTS Body measurements Garment sizes • Bodies measured with Vitus XXL scanner • All garments and sizes measured by hand • Single garment models trained with fit trials

8. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Why kidsize? Co-funded by the EC (2013-2016) Grant Agreement no. 606091 Industry Promoters DemonstratorsDevelopers

9. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Key developments body measuring instrument

10. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Key developments body measuring instrument Size advice & fit prediction algorithms

11. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Key developments body measuring instrument Size advice & fit prediction algorithms

12. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland How does it work?

13. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Introduction Body measuring app Size advice algorithms Validation & results Conclusions Ongoing work

14. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Body measuring app measured in 3D by taking two photographs estimated by linear regression from gender-age-weight-height 0 to 3 y.o. 3 to 12 y.o.

15. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Children body shape space • 800 registered 3D body scans of children • Harmonised in posture • PA + PCA to synthesise • Shape & postural body descriptors • Affordable no. of parameters

16. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Children body shape space PC1 PC2 PC3 PC60 …. • 800 registered 3D body scans of children • Harmonised in posture • PA + PCA to synthesise • Shape & postural body descriptors • Affordable no. of parameters

17. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Input data Image processing Iterative optimisation Data extraction How it works

18. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Introduction Body measuring app Size advice algorithms Validation & results Conclusions Ongoing work

19. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Size advice algorithms • Size recommended to wear it straight away → Expert’s advice • Best fit to allow room for the child to grow → Parents’ advice • Fit at different body areas → Traffic Lights    

20. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Size advice algorithms • Size recommended to wear it straight away → Expert’s advice • Best fit to allow room for the child to grow → Parents’ advice • Fit at different body areas → Traffic Lights    

21. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Size advice algorithms • Size recommended to wear it straight away → Expert’s advice • Best fit to allow room for the child to grow → Parents’ advice • Fit at different body areas → Traffic Lights    

22. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland 160 children aged 0-12 y.o. Training data NECK OPENING CHEST WAIST CONTOUR HIP CONTOUR SHOULDER WIDTH TOTAL LENGTH ARMHOLE BACK WIDTH Over 1100 fit trials Key body fitting areas WAIST CONTOUR HIP CONTOUR THIGH CONTOUR FRONT RISE KNEE CONTOUR BACK RISE TROUSERS LENGTH TROUSERS CUFF

23. 7th Int. Conference on Body Scanning Technologies 1st December 2016, Lugano, Switzerland Ordinal Logistic Regression with Stepwise variable selection

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