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Proceedings Paper

Face pose tracking using the four-point algorithm
Author(s): Ho Yin Fung; Kin Hong Wong; Ying Kin Yu; Kwan Pang Tsui; Ho Chuen Kam
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Paper 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.

Paper Details

Date Published: 19 June 2017
PDF: 5 pages
Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430M (19 June 2017); doi: 10.1117/12.2280307
Show Author Affiliations
Ho Yin Fung, The Chinese Univ. of Hong Kong (Hong Kong, China)
Kin Hong Wong, The Chinese Univ. of Hong Kong (Hong Kong, China)
Ying Kin Yu, The Chinese Univ. of Hong Kong (Hong Kong, China)
Kwan Pang Tsui, The Chinese Univ. of Hong Kong (Hong Kong, China)
Ho Chuen Kam, The Chinese Univ. of Hong Kong (Hong Kong, China)


Published in SPIE Proceedings Vol. 10443:
Second International Workshop on Pattern Recognition
Xudong Jiang; Masayuki Arai; Guojian Chen, Editor(s)

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