Abstract
The task of face alignment is to automatically locate key facial feature points, such as eyes, nose tips and mouth corners. There are many methods to solve the face alignment problems. These methods are classified into three categories: traditional algorithms, cascade based on regression algorithm and deep learning-based algorithm. There are still some problems existing that processing of large pose and small pose, processing of different angles and facial occlusion. The experiment results of three categories of algorithms are summarized in this paper.
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Wang, K., Zhao, G. (2020). A Survey for Traditional, Cascaded Regression, and Deep Learning-Based Face Alignment. In: Su, R., Liu, H. (eds) Medical Imaging and Computer-Aided Diagnosis. MICAD 2020. Lecture Notes in Electrical Engineering, vol 633. Springer, Singapore. https://doi.org/10.1007/978-981-15-5199-4_14
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DOI: https://doi.org/10.1007/978-981-15-5199-4_14
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