Abstract
In this paper, a novel method named simple Local Gabor Binary Pattern methodĀ (sLGBP) is presented to improve the accuracy of head pose estimation. The motivation of sLGBP comes from the great success of Local Gabor Binary PatternĀ (LGBP) in many areas. Considering the relationship between the symmetry of face image and the head pose, the Gabor filters and the LBP operators in sLGBP are all based on the one-dimension. By this way, feature extracted by sLGBP is more related to the head pose while the compute efficiency is improved greatly. To show the effectiveness of sLGBP, we compared them with other methods under two different databases. The results of the experiments show that the proposed methods can improve the accuracy of head pose estimation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kuchinsky, A., Pering, C., Creech, M.L., Freeze, D., Sera, B., Gwizdka, J.: Fotofile: A consumer multimedia organization and retrieval system. In: Proc. the SIGCHI Conference on Human Factors in Computing Systems: the CHI is the Limit, pp. 496ā503 (1999)
Ji, Q., Hu, R.: 3D face pose estimation and tracking from a monocular camera. Image and Vision ComputingĀ 20(7), 499ā511 (2002)
Cootes, T.F., Walker, K., Taylor, C.J.: View-based active appearance model. In: Proc. IEEE International Conference on Automatic Face and Gesture Recognition, pp. 227ā232 (2000)
KrĆ¼ger, N., Pƶtzsch, M., Malsburg, C.V.D.: Determination of face position and pose with a learned representation based on labeled graphs. Image and Vision ComputingĀ 15(8), 665ā673 (1997)
Yan, S., Zhang, Z., Fu, Y., Hu, Y., Tu, J., Huang, T.S.: Learning a person-independent representation for precise 3D pose estimation. In: First International Evaluation Workshop on Classification of Events, Activities and Relationships, pp. 297ā306 (2007)
Chen, L., Zhang, L., Hu, Y., Li, M., Zhang, H.: Head pose estimation using fisher manifold learning. In: Proc. IEEE International Workshop on Analysis and Modeling of Faces and Gestures, pp. 203ā207 (2003)
Li, S.Z., Fu, Q., Gu, L., Scholkopf, B., Cheng, Y., Zhang, H.: Kernel machine based learning for multi-view face detection and pose estimation. In: Proc. IEEE International Conference on Computer Vision, pp. 674ā679 (2001)
KrĆ¼ger, V., Bruns, S., Sommer, G.: Efficient head pose estimation with Gabor wavelet networks. In: Proc. British Machine Vision Conference (2000)
Fu, Y., Huang, T.S.: Graph embedded analysis for head pose estimation. In: Proc. IEEE International Conference on Automatic Face and Gesture Recognition, pp. 3ā8 (2006)
Zhang, W., Shan, S., Gao, W., Chen, X., Zhang, H.: Local gabor binary pattern histogram sequence (lgbphs): a novel non-statistical model for face representation and recognition. In: International Conference on Computer Vision, vol.Ā 1, pp. 786ā791 (2005)
Ma, B., Yang, F., Gao, W., Zhang, B.: The Application of Extended Geodesic Distance in Head Poses Estimation. In: Zhang, D., Jain, A.K. (eds.) ICB 2005. LNCS, vol.Ā 3832, pp. 192ā198. Springer, Heidelberg (2005)
Ma, B., Shan, S., Chen, X., Gao, W.: Head yaw estimation from asymmetry of facial appearance. IEEE Transactions on Systems, Man, and CyberneticsāPart B: CyberneticsĀ 38(6), 1501ā1512 (2008)
Wiskott, L., Fellous, J.M., KrĆ¼ger, N., Malsburg, C.V.D.: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine IntelligenceĀ 19(7), 775ā779 (1997)
Gao, W., Cao, B., Shan, S., Chen, X., Zhou, D., Zhang, X., Zhao, D.: The CAS-PEAL large-scale chinese face database and baseline evaluations. IEEE Transactions on Systems, Man and Cybernetics, Part AĀ 38(1), 149ā161 (2008)
Yan, S., Shan, S., Chen, X., Gao, W., Chen, J.: Matrix-structural learning (MSL) of cascaded classifier from enormous training set. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, W., Ma, B., Chai, X. (2011). Head Pose Estimation Using Simple Local Gabor Binary Pattern. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-25449-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25448-2
Online ISBN: 978-3-642-25449-9
eBook Packages: Computer ScienceComputer Science (R0)