Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters

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...

Tasks

Reproductions