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A Review of Facial Feature Detection Algorithms
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Facial feature localization is an important task in numerous applications of face image analysis that include face recognition and verification, facial expression recognition, driver‘s alertness estimation, head pose estimation etc. Thus, the area has been a very active research field for many years and a multitude of methods appear in the literature. Depending on the targeted application, the proposed methods have different characteristics and are designed to perform in different setups. Thus, a method of general applicability seems to be away from the current state of the art. This chapter intends to offer an up-to-date literature review of facial feature detection algorithms. A review of the image databases and performance metrics that are used to benchmark these algorithms is also provided.
Title: A Review of Facial Feature Detection Algorithms
Description:
Facial feature localization is an important task in numerous applications of face image analysis that include face recognition and verification, facial expression recognition, driver‘s alertness estimation, head pose estimation etc.
Thus, the area has been a very active research field for many years and a multitude of methods appear in the literature.
Depending on the targeted application, the proposed methods have different characteristics and are designed to perform in different setups.
Thus, a method of general applicability seems to be away from the current state of the art.
This chapter intends to offer an up-to-date literature review of facial feature detection algorithms.
A review of the image databases and performance metrics that are used to benchmark these algorithms is also provided.
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