Abstract
In this paper, we propose a new multilinear and multiview subspace learning method called Tensor Cross-view Quadratic Discriminant Analysis for face kinship verification in the wild. Most of the existing multilinear subspace learning methods straightforwardly focus on learning a single set of projection matrices, making it difficult to separate different classes. To address this issue, the proposed approach mutually learns multi-view representations for multidimensional cross-view matching. In order to decrease the effect of the within class variations for each mode of the tensor data, the proposed approach integrates the Within Class Covariance Normalization. Moreover, we propose a new tensor face descriptor based on the Gabor wavelets. Besides, we investigate the complementarity of handcrafted and deep face tensor features via their fusion at score level using the Logistic Regression method. Our extensive experiments demonstrate that the proposed kinship verification framework outperforms the state of the art, achieving 95.14%, 91.83% and 93.58% verification accuracies on Cornell KinFace, UB KinFace and TSKinFace face kinship datasets, respectively.
Similar content being viewed by others
References
Barkan O, Weill J, Wolf L, Aronowitz H (2013) Fast high dimensional vector multiplication face recognition. In: Proceedings of the IEEE international conference on computer vision, pp. 1960–1967
Bessaoudi M, Belahcene M, Ouamane A, Chouchane A, Bourennane S (2019) Multilinear enhanced fisher discriminant analysis for robust multimodal 2d and 3d face verification. Appl Intell 49(4):1339–1354
Bessaoudi M, Ouamane A, Belahcene M, Chouchane A, Boutellaa E, Bourennane S (2019) Multilinear side-information based discriminant analysis for face and kinship verification in the wild. Neurocomputing 329:267–278
Boutellaa E, López MB, Ait-Aoudia S, Feng X, Hadid A (2017) Kinship verification from videos using spatio-temporal texture features and deep learning
Dal Martello MF, Maloney LT (2006) Where are kin recognition signals in the human face? J Vis 6(12):2–2
Dehak N, Kenny PJ, Dehak R, Dumouchel P, Ouellet P (2010) Front-end factor analysis for speaker verification. IEEE Transactions on Audio Speech, and Language Processing 19(4):788–798
Fang L, Li S (2015) Face recognition by exploiting local gabor features with multitask adaptive sparse representation. IEEE Trans Instrum Meas 64(10):2605–2615
Fang R, Tang KD, Snavely N, Chen T (2010) Towards computational models of kinship verification. In: 2010 IEEE International conference on image processing, pp. 1577–1580. IEEE
Guo G, Wang X (2012) Kinship measurement on salient facial features. IEEE Trans Instrum Meas 61(8):2322–2325
Harrell Jr FE (2015) Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis Springer
Iman RL, Conover WJ (1982) A distribution-free approach to inducing rank correlation among input variables. Communications in Statistics-Simulation and Computation 11(3):311–334
Kaminski G, Dridi S, Graff C, Gentaz E (2009) Human ability to detect kinship in strangerb faces: effects of the degree of relatedness. Proc R Soc B Biol Sci 276(1670):3193–3200
Kaminski G, Ravary F, Graff C, Gentaz E (2010) Firstborns’ disadvantage in kinship detection. Psychological science 21(12):1746–1750
Kannala J, Rahtu E (2012) Bsif: Binarized statistical image features. In: Proceedings of the 21st international conference on pattern recognition (ICPR2012), pp. 1363–1366. IEEE
Kofman A (2016) The troubling rise of rapid dna testing. goo gl/uuhZSN
Laiadi O, Ouamane A, Benakcha A, Taleb-Ahmed A, Hadid A (2019) Learning multi-view deep and shallow features through new discriminative subspace for bi-subject and tri-subject kinship verification. Appl Intell 49(11):3894–3908
Laiadi O, Ouamane A, Benakcha A, Taleb-Ahmed A, Hadid A (2020) Tensor cross-view quadratic discriminant analysis for kinship verification in the wild. Neurocomputing 377:286–300
Laiadi O, Ouamane A, Boutellaa E, Benakcha A, Taleb-Ahmed A, Hadid A (2019) Kinship verification from face images in discriminative subspaces of color components. Multimedia Tools and Applications 78(12):16465–16487
Lee TS (1996) Image representation using 2d gabor wavelets. IEEE Transactions on pattern analysis and machine intelligence 18(10):959–971
Li C, Huang Y, Xue Y (2019) Dependence structure of gabor wavelets based on copula for face recognition. Expert Syst Appl 137:453–470
Li W, Wu Y, Li J (2017) Re-identification by neighborhood structure metric learning. Pattern Recogn 61:327–338
Liang J, Hu Q, Dang C, Zuo W (2018) Weighted graph embedding-based metric learning for kinship verification. IEEE Trans Image Process 28(3):1149–1162
Liao S, Hu Y, Zhu X, Li SZ (2015) Person re-identification by local maximal occurrence representation and metric learning. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2197–2206
Liong VE, Lu J, Ge Y (2015) Regularized local metric learning for person re-identification. Pattern Recogn Lett 68:288–296
Lu H, Plataniotis KN, Venetsanopoulos AN (2008) Mpca: Multilinear principal component analysis of tensor objects. IEEE transactions on Neural Networks 19(1):18–39
Lu H, Plataniotis KN, Venetsanopoulos AN (2008) Uncorrelated multilinear discriminant analysis with regularization and aggregation for tensor object recognition. IEEE Transactions on Neural Networks 20(1):103–123
Lu J, Hu J, Tan YP (2017) Discriminative deep metric learning for face and kinship verification. IEEE Trans Image Process 26(9):4269–4282
Lu J, Zhou X, Tan YP, Shang Y, Zhou J (2013) Neighborhood repulsed metric learning for kinship verification. IEEE transactions on pattern analysis and machine intelligence 36(2):331–345
Mahpod S, Keller Y (2018) Kinship verification using multiview hybrid distance learning. Comput Vis Image Underst 167:28–36
Nguyen HV, Bai L (2010) Cosine similarity metric learning for face verification. In: Asian conference on computer vision, pp. 709–720. Springer
Ojansivu V, Heikkilä J. (2008) Blur insensitive texture classification using local phase quantization. In: International conference on image and signal processing, pp. 236–243. Springer
Ouamane A, Chouchane A, Boutellaa E, Belahcene M, Bourennane S, Hadid A (2017) Efficient tensor-based 2d + 3d face verification. IEEE Transactions on Information Forensics and Security 12 (11):2751–2762
Pang Y, Wang S, Yuan Y (2014) Learning regularized lda by clustering. IEEE transactions on neural networks and learning systems 25(12):2191–2201
Parkhi OM, Vedaldi A, Zisserman A (2015) Deep face recognition. In: British machine vision conference
Qin X, Tan X, Chen S (2015) Tri-subject kinship verification: Understanding the core of a family. IEEE Transactions on Multimedia 17(10):1855–1867
Xia S, Shao M, Luo J, Fu Y (2012) Understanding kin relationships in a photo. IEEE Transactions on Multimedia 14(4):1046–1056
Yan H (2017) Kinship verification using neighborhood repulsed correlation metric learning. Image Vis Comput 60:91–97
Yan H, Lu J, Deng W, Zhou X (2014) Discriminative multimetric learning for kinship verification. IEEE Transactions on Information forensics and security 9(7):1169–1178
Yan S, Xu D, Yang Q, Zhang L, Tang X, Zhang HJ (2006) Multilinear discriminant analysis for face recognition. IEEE Trans Image Process 16(1):212–220
Yang D, Jiao L, Gong M, Liu F (2011) Artificial immune multi-objective sar image segmentation with fused complementary features. Inf Sci 181(13):2797–2812
Yang Y, Sun J (2010) Face recognition based on gabor feature extraction and fractal coding. In: 2010 Third international symposium on electronic commerce and security, pp. 302–306. IEEE
Yu H, Chung C, Wong K, Lee H, Zhang J (2009) Probabilistic load flow evaluation with hybrid latin hypercube sampling and cholesky decomposition. IEEE Transactions on Power Systems 24(2):661–667
Yuan S, Mao X, Chen L (2017) Multilinear spatial discriminant analysis for dimensionality reduction. IEEE Trans Image Process 26(6):2669–2681
Zhang L, Duan Q, Zhang D, Jia W, Wang x. (2020) Advkin: Adversarial convolutional network for kinship verification. IEEE Transactions on Cybernetics
Zhou X, Jin K, Xu M, Guo G (2019) Learning deep compact similarity metric for kinship verification from face images. Information Fusion 48:84–94
Zhou X, Lu J, Hu J, Shang Y (2012) Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments. In: Proceedings of the 20th ACM international conference on Multimedia, pp. 725–728
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Bessaoudi, M., Chouchane, A., Ouamane, A. et al. Multilinear subspace learning using handcrafted and deep features for face kinship verification in the wild. Appl Intell 51, 3534–3547 (2021). https://doi.org/10.1007/s10489-020-02044-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10489-020-02044-0