使用最优全分散Haar-like滤波器增强面部特征提取与识别

Zeinab Sedaghatjoo; Hossein Hosseinzadeh; Ahmad shirzadi

使用最优全分散Haar-like滤波器增强面部特征提取与识别

计算机视觉与模式识别 2024-12-19 v4 数值分析数值分析

作者: Zeinab Sedaghatjoo , Hossein Hosseinzadeh , Ahmad shirzadi

摘要

Haar-like滤波器以其简单、快速和准确而闻名,广泛应用于各种计算机视觉任务。本文提出了一种新颖的算法,用于识别最优的全分散Haar-like滤波器,以增强面部特征提取和识别。与传统Haar-like滤波器不同,这些新颖的滤波器允许像素在图像内自由移动,从而能够更有效地捕捉局部细节特征。

关键词

Haar-like filters facial feature extraction facial recognition feature selection computer vision

引用

@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}
}

备注

The idea of the manuscript is basically incorrect

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