Cortical 3D Face Recognition Framework

Rodrigues, J.; Lam, R.; Buf, J. du

Cortical 3D Face Recognition Framework

Files

081-087.pdf (754.44 KB)

Date

2021

Authors

Rodrigues, J.
Lam, R.
Buf, J. du

Publisher

The Eurographics Association

Abstract

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex and end-stopped cells which provide input for a multiscale line/edge representation, keypoints for dynamic routing and saliency maps for Focus-of-Attention. All these combined allow us to segregate faces. Events of different facial views are stored in memory and combined in order to identify the view and recognise the face including facial expression. In this paper we show that with five 2D views and their cortical representations it is possible to determine the left-right and frontal-lateral-profile views and to achieve view-invariant recognition of 3D faces.

        @inproceedings{10.2312:pt.20111133
,
booktitle = {V Ibero-American Symposium in Computer Graphics
},
editor = {Silva, F. and Gutierrez, D. and Rodríguez, J. and Figueiredo, M.
},
title = {{Cortical 3D Face Recognition Framework
}},
author = {Rodrigues, J. and 
Lam, R. and 
Buf, J. du
},
year = {2021
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-152-6
},
DOI = {10.2312/pt.20111133
}
}