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2017 | OriginalPaper | Buchkapitel

4. Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification

verfasst von : Qingfeng Liu, Chengjun Liu

Erschienen in: Recent Advances in Intelligent Image Search and Video Retrieval

Verlag: Springer International Publishing

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Abstract

This chapter presents a novel inheritable color space (InCS) and a generalized InCS (GInCS) framework for kinship verification. Unlike conventional color spaces, the proposed InCS is automatically derived by balancing the criterion of minimizing the distance between kinship images and the criterion of maximizing the distance between non-kinship images based on a new color similarity measure (CSM). Two important properties of the InCS, namely, the decorrelation property and the robustness to illumination variations property, are further presented through both theoretical and practical analyses. To utilize other inheritable features, a generalized InCS framework is then presented to extend the InCS from the pixel level to the feature level for improving the verification performance as well as the robustness to illumination variations. Experimental results on four representative datasets, the KinFaceW-I dataset, the KinFaceW-II dataset, the UB KinFace dataset, and the Cornell KinFace dataset, show the effectiveness of the proposed method.

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Vorheriges Kapitel Improved Soft Assignment Coding for Image Classification

Nächstes Kapitel Novel Sparse Kernel Manifold Learner for Image Classification Applications

Fang, R., Tang, K.D., Snavely, N., Chen, T.: Towards computational models of kinship verification. In: ICIP, pp. 1577–1580 (2010)

Xia, S., Shao, M., Luo, J., Fu, Y.: Understanding kin relationships in a photo. IEEE Trans. Multimed. 14(4), 1046–1056 (2012)CrossRef

Lu, J., Zhou, X., Tan, Y.P., Shang, Y., Zhou, J.: Neighborhood repulsed metric learning for kinship verification. IEEE Trans. Pattern Anal. Mach. Intell. 36(2), 331–345 (2014)CrossRef

Dehghan, A., Ortiz, E.G., Villegas, R., Shah, M.: Who do i look like? Determining parent-offspring resemblance via gated autoencoders. In: CVPR, pp. 1757–1764. IEEE (2014)

Yan, H., Lu, J., Zhou, X.: Prototype-based discriminative feature learning for kinship verification. IEEE Trans. Cybern. (2015)

Lu, J., Hu, J., Liong, V.E., Zhou, X., Bottino, A., Islam, I.U., Vieira, T.F., Qin, X., Tan, X., Chen, S., Keller, Y., Mahpod, S., Zheng, L., Idrissi, K., Garcia, C., Duffner, S., Baskurt, A., Castrillon-Santana, M., Lorenzo-Navarro, J.: The FG 2015 Kinship Verification in the Wild Evaluation. In: FG 2015, pp. 1–7 (2015)

Alvergne, A., Faurie, C., Raymond, M.: Differential facial resemblance of young children to their parents: Who do children look like more? Evol. Hum. Behav. 28(2), 135–144 (2007)CrossRef

Bressan, P., Dal Martello, M.: Talis pater, talis filius: Perceived resemblance and the belief in genetic relatedness. Psychol. Sci. 13(3), 213–218 (2002)CrossRef

Liu, C.: Learning the uncorrelated, independent, and discriminating color spaces for face recognition. IEEE Trans. Inf. Forensics Secur. 3(2), 213–222 (2008)CrossRef

10.

Liu, C., Yang, J.: ICA color space for pattern recognition. IEEE Trans. Neural Netw. 20(2), 248–257 (2009)CrossRef

11.

Liu, Z., Liu, C.: Fusion of color, local spatial and global frequency information for face recognition. Pattern Recognit. 43(8), 2882–2890 (2010)CrossRefMATH

12.

Yang, J., Liu, C.: Color image discriminant models and algorithms for face recognition. IEEE Trans. Neural Netw. 19(12), 2088–2098 (2008)CrossRef

13.

Yang, J., Liu, C., Zhang, L.: Color space normalization: Enhancing the discriminating power of color spaces for face recognition. Pattern Recognit. 43(4), 1454–1466 (2010)CrossRefMATH

14.

Liu, C.: Extracting discriminative color features for face recognition. Pattern Recognit. Lett. 32(14), 1796–1804 (2011)CrossRef

15.

Liu, C.: Effective use of color information for large scale face verification. Neurocomputing 101, 43–51 (2013)CrossRef

16.

Shih, P., Liu, C.: Comparative assessment of content-based face image retrieval in different color spaces. IJPRAI 19(7), 873–893 (2005)

17.

Banerji, S., Sinha, A., Liu, C.: New image descriptors based on color, texture, shape, and wavelets for object and scene image classification. Neurocomputing 117, 173–185 (2013)CrossRef

18.

Khan, F.S., Rao, M.A., van de Weijer, J., Bagdanov, A.D., Lopez, A., Felsberg, M.: Coloring action recognition in still images. Int. J. Comput. Vis. (IJCV) 105(3), 205–221 (2013)CrossRef

19.

Khan, F.S., Rao, M.A., van de Weijer, J., Bagdanov, A.D., Vanrell, M., Lopez, A.: Color attributes for object detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012) (2012)

20.

Khan, R., van de Weijer, J., Shahbaz Khan, F., Muselet, D., Ducottet, C., Barat, C.: Discriminative color descriptors. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2866–2873 (2013)

21.

van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.: Evaluating color descriptors for object and scene recognition. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1582–1596 (2010)CrossRef

22.

Zhang, J., Barhomi, Y., Serre, T.: A new biologically inspired color image descriptor. In: Computer Vision ECCV 2012, pp. 312–324. Springer, Heidelberg (2012)

23.

Jegou, H., Perronnin, F., Douze, M., Sanchez, J., Perez, P., Schmid, C.: Aggregating local image descriptors into compact codes. IEEE Trans. Pattern Anal. Mach. Intell. 34(9), 1704–1716 (2012)CrossRef

24.

Yan, H., Lu, J., Deng, W., Zhou, X.: Discriminative multimetric learning for kinship verification. IEEE Trans. Inf. Forensics Secur. 9(7), 1169–1178 (2014)CrossRef

25.

Shahbaz Khan, F., van de Weijer, J., Vanrell, M.: Top-down color attention for object recognition. In: ICCV, pp. 979–986 (2009)

26.

Yang, Y., Liao, S., Lei, Z., Yi, D., Li, S.: Color models and weighted covariance estimation for person re-identification. In: 2014 22nd International Conference on Pattern Recognition (ICPR), pp. 1874–1879 (2014)

27.

Xing, E.P., Jordan, M.I., Russell, S., Ng, A.Y.: Distance metric learning with application to clustering with side-information. In: NIPS, pp. 505–512 (2002)

28.

Goldberger, J., Roweis, S.T., Hinton, G.E., Salakhutdinov, R.: Neighbourhood components analysis. In: NIPS (2004)

29.

Weinberger, K.Q., Saul, L.K.: Distance metric learning for large margin nearest neighbor classification. J. Mach. Learn. Res. 10, 207–244 (2009)MATH

30.

Davis, J.V., Kulis, B., Jain, P., Sra, S., Dhillon, I.S.: Information-theoretic metric learning. In: ICML, pp. 209–216 (2007)

31.

Nguyen, H., Bai, L.: Cosine similarity metric learning for face verification. ACCV 6493, 709–720 (2011)

32.

Liu, C.: The bayes decision rule induced similarity measures. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 1086–1090 (2007)CrossRef

33.

Liu, C.: Discriminant analysis and similarity measure. Pattern Recognit. 47(1), 359–367 (2014)CrossRef

34.

Finlayson, G.D., Drew, M.S., Funt, B.V.: Spectral sharpening: Sensor transformations for improved color constancy. J. Opt. Soc. Am. A 11(5), 1553–1563 (1994)CrossRef

35.

Liu, C., Wechsler, H.: Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Trans. Image Process., 467–476 (2002)

36.

Wolf, L., Hassner, T., Taigman, Y.: Descriptor based methods in the wild. In: Real-Life Images workshop at the European Conference on Computer Vision (ECCV) (2008)

37.

Gu, J., Liu, C.: Feature local binary patterns with application to eye detection. In: Neurocomputing, pp. 138–152 (2013)

38.

Simonyan, K., Parkhi, O.M., Vedaldi, A., Zisserman, A.: Fisher vector faces in the wild. In: BMVC (2013)

39.

Liu, C., Yuen, J., Torralba, A.: SIFT flow: Dense correspondence across scenes and its applications. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 978–994 (2011)CrossRef

40.

Sharma, A., Kumar, A., Daume, H., Jacobs, D.: Generalized multiview analysis: A discriminative latent space. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2160–2167 (2012)

41.

Mu, Y., Ding, W., Tao, D.: Local discriminative distance metrics ensemble learning. Pattern Recognit. 46(8), 2337–2349 (2013)CrossRefMATH

42.

Lu, J., Tan, Y.P., Wang, G.: Discriminative multimanifold analysis for face recognition from a single training sample per person. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 39–51 (2013)CrossRef

Titel: Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification
verfasst von: Qingfeng Liu
Chengjun Liu
Verlag: Springer International Publishing
Buch: Recent Advances in Intelligent Image Search and Video Retrieval
Print ISBN: 978-3-319-52080-3

Electronic ISBN: 978-3-319-52081-0

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-52081-0_4

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