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. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Peláez, G., García, F., De La Escalera, A., & Armingol, J. M. (2013). Obtaining a 3D model from a facial recognition in 2D. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8112 LNCS, pp. 33–38). Springer Verlag. https://doi.org/10.1007/978-3-642-53862-9_5
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