Systems and methods for full body measurements extraction
US10321728B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2018 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Nov 19, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters from a user device; receiving at least one image from the user device, the at least one image containing the human and a background; performing body segmentation on the at least one image to extract one or more body features associated with the human from the background using a segmentation deep-learning network; generating annotation lines on the extracted body features using an annotation deep-learning network; generating body feature measurements of the one or more annotated body features utilizing a machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each extracted body feature. In one embodiment, the deep-learning algorithms are trained on manually-annotated human body size measurements.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.