Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters
Computer Vision and Pattern Recognition
2024-12-19 v4 Numerical Analysis
Numerical Analysis
Abstract
Haar-like filters are renowned for their simplicity, speed, and accuracy in various computer vision tasks. This paper proposes a novel algorithm to identify optimal fully dispersed Haar-like filters for enhanced facial feature extraction and recognation. Unlike traditional Haar-like filters, these novel filters allow pixels to move freely within images, enabling more effictive capture of intricate local features...
Keywords
Cite
@article{arxiv.2404.10476,
title = {Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters},
author = {Zeinab Sedaghatjoo and Hossein Hosseinzadeh and Ahmad shirzadi},
journal= {arXiv preprint arXiv:2404.10476},
year = {2024}
}
Comments
The idea of the manuscript is basically incorrect