Face detection using machine learning
US10268950B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2014 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Jul 16, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A disclosed face detection system (and method) is based on a structure of a convolutional neural network (CNN). One aspect concerns a method for automatically training a CNN for face detection. The training is performed such that balanced number of face images and non-face images are used for training by deriving additional face images from the face images. The training is also performed by adaptively changing a number of trainings of a stage according to automatic stopping criteria. Another aspect concerns a system for performing image detection by integrating data at different scales (i.e., different image extents) for better use of data in each scale. The system may include CNNs automatically trained using the method disclosed herein.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.