Abstract
The aim of this work is to carry out a comparative study of face-recognition methods for Human-Robot Interaction (HRI) applications. The analyzed methods are selected by considering their suitability for HRI use, and their performance in former comparative studies. The methods are compared using standard databases and a new database for HRI applications. The comparative study includes aspects such as variable illumination, facial expression variations, face occlusions, and variable eye detection accuracy, which directly influence face alignment precision. The results of this comparative study are intended to be a guide for developers of face recognition systems for HRI, and they have direct application in the RoboCup@Home league.
This research was partially supported by FONDECYT (Chile) under Project Number 1061158.
Chapter PDF
Similar content being viewed by others
References
Sinha, P., Balas, B., Ostrovsky, Y., Russell, R.: Face Recognition by Humans: 19 Results All Computer Vision Researchers Should Know About. Proc. of the IEEE 94(11), 1948–1962 (2006)
Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.J.: Face Recognition: A Literature Survey. ACM Computing Surveys, 399–458 (2003)
Tan, X., Chen, S., Zhou, Z.-H., Zhang, F.: Face recognition from a single image per person: A survey. Pattern Recognition 39, 1725–1745 (2006)
Chellappa, R., Wilson, C.L., Sirohey, S.: Human and Machine Recognition of Faces: A Survey. Proceedings of the IEEE 83(5), 705–740 (1995)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neurosicence 3(1), 71–86 (1991)
Face Recognition Homepage (January 2008), http://www.face-rec.org/
Ruiz-del-Solar, J., Navarrete, P.: Eigenspace-based face recognition: a comparative study of different approaches. IEEE Transactions on Systems, Man and Cybernetics, Part C 35(3), 315–325 (2005)
Zou, J., Ji, Q., Nagy, G.: A Comparative Study of Local Matching Approach for Face Recognition. IEEE Transactions on Image Processing 16(10), 2617–2628 (2007)
Phillips, P., Flynn, P., Scruggs, T., Bowyer, K., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.: Overview of the Face Recognition Grand Challenge. In: Proc. of the IEEE Conf. Computer Vision and Pattern Recognition – CVPR 2005, vol. 1, pp. 947–954 (2005)
Fröba, B., Ernst, A.: Face detection with the modified census transform. In: 6th Int. Conf. on Face and Gesture Recognition - FG 2004, Seoul, Korea, pp. 91–96 (2004)
Ahonen, T., Hadid, A., Pietikainen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)
Ruiz-del-Solar, J., Loncomilla, P., Devia, C.: A New Approach for Fingerprint Verification based on Wide Baseline Matching using Local Interest Points and Descriptors. In: Mery, D., Rueda, L. (eds.) PSIVT 2007. LNCS, vol. 4872, pp. 586–599. Springer, Heidelberg (2007)
Mian, A.S., Bennamoun, M., Owens, R.: An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition. IEEE Trans. on Patt. Analysis and Machine Intell. 29(11), 1927–1943 (2007)
Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing J. 16(5), 295–306 (1998)
Verschae, R., Ruiz-del-Solar, J., Correa, M.: A Unified Learning Framework for object Detection and Classification using Nested Cascades of Boosted Classifiers. Machine Vision and Applications (in press)
Lowe, D.: Distinctive Image Features from Scale-Invariant Keypoints. Int. Journal of Computer Vision 60(2), 91–110 (2004)
RoboCup @Home Official Website, http://www.robocupathome.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Correa, M., Ruiz-del-Solar, J., Bernuy, F. (2009). Face Recognition for Human-Robot Interaction Applications: A Comparative Study. In: Iocchi, L., Matsubara, H., Weitzenfeld, A., Zhou, C. (eds) RoboCup 2008: Robot Soccer World Cup XII. RoboCup 2008. Lecture Notes in Computer Science(), vol 5399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02921-9_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-02921-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02920-2
Online ISBN: 978-3-642-02921-9
eBook Packages: Computer ScienceComputer Science (R0)