19 June 2017 Face pose tracking using the four-point algorithm
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Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430M (2017) https://doi.org/10.1117/12.2280307
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
Abstract
In this paper, we have developed an algorithm to track the pose of a human face robustly and efficiently. Face pose estimation is very useful in many applications such as building virtual reality systems and creating an alternative input method for the disabled. Firstly, we have modified a face detection toolbox called DLib for the detection of a face in front of a camera. The detected face features are passed to a pose estimation method, known as the four-point algorithm, for pose computation. The theory applied and the technical problems encountered during system development are discussed in the paper. It is demonstrated that the system is able to track the pose of a face in real time using a consumer grade laptop computer.
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Ho Yin Fung, Kin Hong Wong, Ying Kin Yu, Kwan Pang Tsui, Ho Chuen Kam, "Face pose tracking using the four-point algorithm", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430M (19 June 2017); doi: 10.1117/12.2280307; https://doi.org/10.1117/12.2280307
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