Abstract
This paper proposes a method for real-time face detection. The proposed method is to use depth information to detect faces in a manner that performs robustly even in response to changes of lighting and face sizes. And we use the depth difference features in depth image and apply this to the boosting algorithm for training and recognition. The depth difference features that this study proposes to use enable dynamic changes to be made to the window according to the face size. The conventional method of face detection was to define the size of the face to be detected in advance, and complete scanning for all the possible sizes. By contrast, this new method requires only a single scan to detect faces of all sizes, since it uses the central depth value to predict size based on 2nd polynomial model. These detected depth difference features are performed training and recognition step with boosting algorithm[1]. The boosting classifier performs recognition by connecting strong classifiers that are constituted by weak classifiers.
Chapter PDF
Similar content being viewed by others
References
Freund, Y., Shapire, R.E.: A short introduction to boosting. Journal of Japanese Society for Artificial Intelligence 14(5), 771–780 (1999)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 511–518 (2001)
Fröba, B., Ernst, A.: Face Detection with the Modified Census Transform. In: Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), pp. 91–96 (2004)
Joo, S.I., Weon, S.H., Hong, J.M., Choi, H.I.: Hand detection in depth images using features of depth difference. In: Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV 2013), vol. 2, pp. 823–834 (2013)
Joo, S.I., Weon, S.H., Choi, H.I.: Real-time Hand Region Detection based on Cascade using Depth Information. KIPS Transactions on Software and Data Engineering 2(10), 713–722 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Weon, SH., Joo, SI., Choi, HI. (2014). Using Depth Information for Real-Time Face Detection. In: Stephanidis, C. (eds) HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Communications in Computer and Information Science, vol 434. Springer, Cham. https://doi.org/10.1007/978-3-319-07857-1_84
Download citation
DOI: https://doi.org/10.1007/978-3-319-07857-1_84
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07856-4
Online ISBN: 978-3-319-07857-1
eBook Packages: Computer ScienceComputer Science (R0)