Abstract
In order to improve the accuracy of the Shape Model Active method, we propose a new method to improve the accuracy of ASM (ASM) algorithm in face detection, and propose a new method to construct the local template. In the process of local localization, the paper uses form Closed-algorithm to segment the texture segmentation. Information is effectively improved the performance of the ASM method. The results show that the proposed algorithm can extract the feature points of most forward faces correctly. The proposed algorithm has a wide range of applications in image understanding of face tracking, recognition and facial expression analysis.
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Benfu, L. (2018). An Improved Algorithm for Facial Feature Location by Multi-template ASM. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2017. Lecture Notes in Electrical Engineering, vol 464. Springer, Singapore. https://doi.org/10.1007/978-981-10-7398-4_24
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DOI: https://doi.org/10.1007/978-981-10-7398-4_24
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