Fusion of Deep and Shallow Features for Face Kinship Verification
Computer Vision and Pattern Recognition
2023-12-19 v1 Artificial Intelligence
Abstract
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision. This work makes notable contributions by incorporating a preprocessing technique known as Multiscale Retinex (MSR), which enhances image quality. Our approach harnesses the strength of complementary deep (VGG16) and shallow texture descriptors (BSIF) by combining them at the score level using Logistic Regression (LR) technique. We assess the effectiveness of our approach by conducting comprehensive experiments on three challenging kinship datasets: Cornell Kin Face, UB Kin Face and TS Kin Face
Cite
@article{arxiv.2312.10462,
title = {Fusion of Deep and Shallow Features for Face Kinship Verification},
author = {Belabbaci El Ouanas and Khammari Mohammed and Chouchane Ammar and Mohcene Bessaoudi and Abdelmalik Ouamane and Akram Abderraouf Gharbi},
journal= {arXiv preprint arXiv:2312.10462},
year = {2023}
}
Comments
arXiv admin note: text overlap with arXiv:2312.03562