| Face recognition system in applications e.g. facial feature extraction, has fixed sliding window for sliding across every-coordinate of image followed by computing Haar features and local binary pattern cascade trained to perform similarly than Haar cascade | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069693-A |
| 成果简介 | NOVELTY - The system has a fixed sliding window for sliding across every-coordinate of an image followed by computing Haar features. A local binary pattern (LBP) cascade is trained to perform similarly than the Haar cascade. A correct detection is noted when there is a 50% overlap between ground-truth and open computer vision (CV) detected coordinates. USE - Face recognition system in applications e.g. facial feature extraction, crime prevention, video surveillance, person verification, similar security activities and facial image processing applications. ADVANTAGE - The system obtains significantly higher accuracy and robust face detections with deep learning face detectors. |
| IPC 分类号 | G01J-003/36 ; G06F-021/32 ; G06N-003/08 ; G07C-009/37 ; H04N-009/73 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/19820 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | KALIYAMURTHIE K P,MUTHULAKSHMI K,DEEPIKA S S N,et al. Face recognition system in applications e.g. facial feature extraction, has fixed sliding window for sliding across every-coordinate of image followed by computing Haar features and local binary pattern cascade trained to perform similarly than Haar cascade. IN202341069693-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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