Pose-invariant face recognition system and process
US7142697B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 5, 2004 |
| Grant date | Nov 28, 2006 |
| Priority date | — |
| Expiry date | May 21, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/24323
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A face recognition system and process for identifying a person depicted in an input image and their face pose. This system and process entails locating and extracting face regions belonging to known people from a set of model images, and determining the face pose for each of the face regions extracted. All the extracted face regions are preprocessed by normalizing, cropping, categorizing and finally abstracting them. More specifically, the images are normalized and cropped to show only a persons face, categorized according to the face pose of the depicted person's face by assigning them to one of a series of face pose ranges, and abstracted preferably via an eigenface approach. The preprocessed face images are preferably used to train a neural network ensemble having a first stage made up of a bank of face recognition neural networks each of which is dedicated to a particular pose range, and a second stage constituting a single fusing neural network that is used to combine the outputs from each of the first stage neural networks. Once trained, the input of a face region which has been extracted from an input image and preprocessed (i.e., normalized, cropped and abstracted) will cau…
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