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- W2364802513 abstract "An algorithm to improve the robustness of elastic matching in face recognition is proposed when it is strongly disturbed by the background. Automatic human face recognition has various applications. Elastic matching is an important face recognition algorithm, and it has higher robustness compared to other algorithms. But it also cannot deal with the disturbance from background effectively . The basic point of our algorithm is combining local information and global information together and using the local information undisturbed by the background to improve elastic matching algorithm. Experimental results demonstrate that the proposed method has improved the robustness of elastic matching." @default.
- W2364802513 created "2016-06-24" @default.
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- W2364802513 date "2002-01-01" @default.
- W2364802513 modified "2023-09-23" @default.
- W2364802513 title "Using Key Points to Improve Elastic Matching in Face Recognition" @default.
- W2364802513 hasPublicationYear "2002" @default.
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