Face Detection: Present State and Research Directions
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916117006516224 |
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| author | Prabhat, Purnendu Gupta, Himanshu Vishwakarma, Ajeet Kumar |
| author_facet | Prabhat, Purnendu Gupta, Himanshu Vishwakarma, Ajeet Kumar |
| contents | The majority of computer vision applications that handle images featuring humans use face detection as a core component. Face detection still has issues, despite much research on the topic. Face detection's accuracy and speed might yet be increased. This review paper shows the progress made in this area as well as the substantial issues that still need to be tackled. The paper provides research directions that can be taken up as research projects in the field of face detection. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2402_03796 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Face Detection: Present State and Research Directions Prabhat, Purnendu Gupta, Himanshu Vishwakarma, Ajeet Kumar Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning The majority of computer vision applications that handle images featuring humans use face detection as a core component. Face detection still has issues, despite much research on the topic. Face detection's accuracy and speed might yet be increased. This review paper shows the progress made in this area as well as the substantial issues that still need to be tackled. The paper provides research directions that can be taken up as research projects in the field of face detection. |
| title | Face Detection: Present State and Research Directions |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2402.03796 |