You are in : Home » Results & submissions » Select UOA » 13 - Electrical and Electronic Engineering, Metallurgy and Materials » View submission: Newcastle University » Outputs » Detail

Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Newcastle University

Return to search Previous output Next output

Output 65 of 114 in the submission

Article title

Multi-linear neighborhood preserving projection for face recognition

Type

D - Journal article

DOI

10.1016/j.patcog.2013.08.005

Title of journal

Pattern Recognition

Article number

Volume number

Issue number

First page of article

544

ISSN of journal

1873-5142

Year of publication

2013

URL

http://dx.doi.org/10.1016/j.patcog.2013.08.005

Number of additional authors

Additional information

This research uses algorithms to work directly on multidimensional face images to extract features for biometric face recognition and classification. The work has introduced new mathematical theory and is operable in both unsupervised/supervised modes. Comparative evaluations with published work show that this approach solves the high ‘curse of dimensionality’ problem and reduces the high computational demand. The work lends itself to all high speed image recognition and retrieval applications and the initial stages of the research were a driver for the successful application to the Royal Society for an International Scientific Seminar for India and UK ISS/India/JEB.

Interdisciplinary

Cross-referral requested

Research group

A - Communications, Sensors & Signal Processing (CSSP)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract