Improvement of a facial recognition system based on one shot camera

Simple item page
AuteurDEGLA, AYMARD GUY
AuteurHOUSSOU, ELVIRE
AuteurSANDA, A TIDJANI
AuteurGOUTON, PIERRE
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2023
ResumeIn recent years, one-shot cameras that integrate Multispectral Filter Arrays (MSFA) are used to acquire multispectral images. In a previous paper, we have proposed a multispectral image recognition system based on this type of camera. The images acquired with these cameras are then demosaiced. Multispectral facial images acquired with our MSFA one-shot camera present information redundancy which leads to a strong correlation between bands. A dimensionality reduction is necessary to reduce information redundancy. Dimensionality reduction is a set of techniques that allow to project an initial image of dimension n into a final image of dimension p, while preserving its relevant information. This paper proposes an improvement of facial recognition system using the Multispectral Filter Array one shot camera. A dimensionality reduction module has been added to the system. A comparison of the performance of different dimensionality reduction methods based on the eigenvalues, and VGG19 classification results are conducted. Experimental results on the EXIST database made up with our camera indicate a good decorrelation of the bands leading to the reduction of bands from eight to three with the Karhuen-Love transform and an accuracy of 100% with VGG19. The application of the dimension reduction method resulted in a 15 % gain in processing time always reaching an accuracy of 100%.
DOI10.2352/EI.2023.35.6.ISS-340
Autre identifiantBECDB-15816
URIhttps://dspace.uac.bj/handle/123456789/13362
Languefr
Fait partie deProceedings of the International Symposium on Electronic Imaging 2023
SujetOne shot camera
SujetDimensionality
Sujetréduction
SujetEXIST database
TitreImprovement of a facial recognition system based on one shot camera
TypeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
97b9b721d32e6f22e19b1fc49f5ecce5.pdf
Size:
577.3 KB
Format:
Adobe Portable Document Format
Download

Collections

Articles