Abstract
Face detection is a classical problem in the field of computer vision. It is widely used in recent years, face detection and face tracking has not only limited to the scope of application of face recognition: in video retrieval, video surveillance, facial expression analysis, gender, race, age discrimination, digital entertainment, and so on. This paper proposed algorithm based on AdaBoost algorithm AAM model of face feature points to identify the improvement in a certain range to solve the present stage AAM algorithm does not consider the grayscale in the exact face of initial position and face face detection problem.
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Jia, X., Zhu, Q., Zhang, P., Chang, M. (2017). Face Feature Points Detection Based on Adaboost and AAM. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_15
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DOI: https://doi.org/10.1007/978-981-10-3966-9_15
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