Abstract
Face detection as a necessary first-step has been widely used in face recognition systems and many other applications. However, many effective face detection methods still stay in grayscale images. Nowadays, photoplethysmographic imaging (PPGi) for cardiovascular and hemodynamic analysis has become an attractive research area and pulsatile signal extracted from skin surface can be obtained using a digital camera under the condition of the ambient light. In this paper, we introduce a new approach of face detection based on the PPGi technology. First, a reference signal is required to calculate the standard value of the subject’s heart rate. The frame images are sliced into many small regions and the frequency of every region is estimated, respectively. According to the predetermined threshold between the standard value and the calculated value, an index of the existence of the face region can be created. And then the binary image of the face region can be formed. Finally, an elliptical template can be formed using the edge information of the binary image. In the condition of different heart rate, we can obtain effective results.
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Liu, H., Chen, T., Zhang, Q., Wang, L. (2015). A New Approach for Face Detection Based on Photoplethysmographic Imaging. In: Yin, X., Ho, K., Zeng, D., Aickelin, U., Zhou, R., Wang, H. (eds) Health Information Science. HIS 2015. Lecture Notes in Computer Science(), vol 9085. Springer, Cham. https://doi.org/10.1007/978-3-319-19156-0_9
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DOI: https://doi.org/10.1007/978-3-319-19156-0_9
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