Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909431885725696 |
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| author | Sedaghatjoo, Zeinab Hosseinzadeh, Hossein shirzadi, Ahmad |
| author_facet | Sedaghatjoo, Zeinab Hosseinzadeh, Hossein shirzadi, Ahmad |
| contents | 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... |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_10476 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters Sedaghatjoo, Zeinab Hosseinzadeh, Hossein shirzadi, Ahmad Computer Vision and Pattern Recognition Numerical Analysis 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... |
| title | Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters |
| topic | Computer Vision and Pattern Recognition Numerical Analysis |
| url | https://arxiv.org/abs/2404.10476 |