Novel low level local features for 3D expression invariant face recognition

Munawar Hayat, Mohammed Bennamoun, Yinjie Lei, Amar El-Sallam

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

In this paper, we present a system based on novel low level local features to recognize 3D faces under varying facial expressions. Our local features are obtained by combinatorially selecting two points from expression insensitive semi-rigid portions of the face. The curve length between the two points is computed and the distribution of such curve lengths is used as a feature vector to model the geometric shape distribution of the face. Our proposed features are very simple to compute yet highly distinctive and discriminating. Kernel Fisher discriminant analysis is used for feature optimization, followed by a linear support vector machine classifier for recognition. The system is extensively tested on 2500 facial scans of BU 3DFE dataset. Our experimental results show that the proposed system achieves a very high average classification rate of 99.17% and verification rates of 99.0% and above for a false acceptance rate of 0.001.

Original languageEnglish
Title of host publication2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages194-198
Number of pages5
ISBN (Print)9781467318716
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Control, Automation, Robotics and Vision 2012 - Guangzhou Baiyun International Convention Center, Guandzhou, China
Duration: 5 Dec 20127 Dec 2012
Conference number: 12th
https://ieeexplore.ieee.org/xpl/conhome/6478914/proceeding (Proceedings)

Publication series

Name2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Conference

ConferenceInternational Conference on Control, Automation, Robotics and Vision 2012
Abbreviated titleICARCV 2012
CountryChina
CityGuandzhou
Period5/12/127/12/12
Internet address

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