Abstract
This paper shows the current status of an implementation with a composed device of depth and color camera. From the color image, a set of points associated with the face is obtained; later the main features of a human face are identified. The 3D model is constructed based on a previous 2D analysis using the haar-like features for detecting the human face. This application will be a part of a more complex system designed to assist the driver by monitoring both inside and outside the vehicle, i.e. intelligent systems of transportation.
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Peláez, G., García, F., de la Escalera, A., Armingol, J.M. (2013). Obtaining a 3D Model from a Facial Recognition in 2D. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_5
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DOI: https://doi.org/10.1007/978-3-642-53862-9_5
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