Abstract
RGB-D is a powerful source of data providing the aligned depth information which has great potentials in improving the performance of various problems in image understanding, while Local Binary Patterns (LBP) have shown excellent results in representing faces. In this paper, we propose a novel efficient LBP-based descriptor, namely Gradient-LBP (G-LBP), specialized to encode the facial depth information inspired by 3DLBP, yet resolves its inherent drawbacks. The proposed descriptor is applied to gender recognition task and shows its superiority to 3DLBP in all the experimental setups on both Kinect and range scanner databases. Furthermore, a weighted combination scheme of the proposed descriptor for depth images and the state-of-the-art LBP U2 for grayscale images applied in gender recognition is proposed and evaluated. The result reinforces the effectiveness of the proposed descriptor in complementing the source of information from the luminous intensity. All the experiments are carried out on both the high quality 3D range scanner database - Texas 3DFR and images of lower quality obtained from Kinect - EURECOM Kinect Face Dataset to show the consistency of the performance on different sources of RGB-D data.
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References
Ojala, T., Pietkäinen, M., Mäenpää, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Analysis and Machine Intelligence 24(7), 971–987 (2002)
Ahonen, T., Hadid, A., Pietikäinen, M.: Face description with local binary patterns: Application to face recognition. PAMI 28(12), 2037–2041 (2006)
Shan, C., Gong, S., McOwan, P.: Facial expression recognition based on Local Binary Patterns: A comprehensive study. Image and Vision Computing 27(6), 803–816 (2009)
Gunay, A., Nabiyev, V.V.: Automatic age classification with LBP. In: International Symposium on Computer and Information Sciences - ISCIS (2008)
Lian, H.-C., Lu, B.-L.: Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3972, pp. 202–209. Springer, Heidelberg (2006)
Farinella, G., Dugelay, J.-L.: Demographic classification: Do gender and ethnicity affect each other? In: IAPR International Conference on Informatics, Electronics & Vision, ICIEV 2012, Dhaka, Bangladesh (2012)
Guo, Z., Zhang, L., Zhang, D.: A completed modeling of local binary pattern operator for texture classification. IEEE Trans. Image Process. 19(6), 1657–1663 (2010)
Yang, H., Wang, Y.: A LBP-based face recognition method with Hamming distance constraint. In: Proc. International Conference on Image and Graphics, pp. 645–649 (2007)
Fehr, J.: Rotational Invariant Uniform Local Binary Patterns For Full 3D Volume Texture Analysis. FINSIG (2007)
Zhao, G., Pietikäinen, M.: Dynamic texture recognition using volume local binary patterns. In: ECCV, Workshop on Dynamical Vision, pp. 12–23 (2006)
Lu, X., Chen, H., Jain, A.: Multimodal Facial Gender and Ethnicity Identification. In: Zhang, D., Jain, A.K. (eds.) ICB 2005. LNCS, vol. 3832, pp. 554–561. Springer, Heidelberg (2005)
Zhu, Y., Dariush, B., Fujimura, K.: Controlled human pose estimation from depth image streams. In: CVPR time-of-flight Workshop (2008)
Huang, Y., Wang, Y., Tan, T.: Combining statistics of geometrical and correlative features for 3D face recognition. In: Proceedings of the British Machine Vision Conference, pp. 879–888 (2006)
Jin, H., Liu, Q., Lu, H., Tong, X.: Face detection using improved lbp under Bayesian framework. In: Proceedings of the Third International Conference on Image and Graphics, pp. 306–309 (2004)
Ylioinas, J., Hadid, A., Pietikäinen, M.: Combining Contrast Information and Local Binary Patterns for Gender Classification. In: Heyden, A., Kahl, F. (eds.) SCIA 2011. LNCS, vol. 6688, pp. 676–686. Springer, Heidelberg (2011)
Huang, D., Shan, C., Ardabilian, M., Wang, Y., Chen, L.: Local Binary Patterns and Its Application to Facial Image Analysis: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C 41(6), 765–781 (2011)
Mäkinen, E., Raisamo, R.: Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces. IEEE Trans. Pattern Anal. Mach. Intell. 30(3), 541–547 (2008)
Gupta, S., Castleman, K.R., Markey, M.K., Bovik, A.C.: Texas 3D Face Recognition Database. In: IEEE Southwest Symposium on Image Analysis and Interpretation, Austin, TX, pp. 97–100 (2010)
EURECOM Kinect Face Dataset, http://RGB-D.eurecom.fr
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Huynh, T., Min, R., Dugelay, JL. (2013). An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data. In: Park, JI., Kim, J. (eds) Computer Vision - ACCV 2012 Workshops. ACCV 2012. Lecture Notes in Computer Science, vol 7728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37410-4_12
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DOI: https://doi.org/10.1007/978-3-642-37410-4_12
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