Abstract
Despite the promising achievements introduced in the previous chapters, there are still issues that hinder the development of heterogeneous facial analysis and synthesis. In this chapter, we give a discussion on these issues as well as research opportunities in the future. The discussion surrounds mainly two topics. One is from the perspective of data resources, the other lies in the exploitation of methods.
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References
Fu, C., Wu, X., Hu, Y., Huang, H., He, R.: Dual variational generation for low shot heterogeneous face recognition. In: Advances in Neural Information Processing Systems 32
Gross, R., Matthews, I., Cohn, J., Kanade, T., Baker, S.: Multi-pie. Image Vis. Comput. 28(5), 807–813 (2010)
Li, P., Wu, X., Hu, Y., He, R., Sun, Z.: M2fpa: a multi-yaw multi-pitch high-quality dataset and benchmark for facial pose analysis. In: The IEEE International Conference on Computer Vision (2019)
Li, S., Yi, D., Lei, Z., Liao, S.: The casia nir-vis 2.0 face database. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 348–353 (2013)
Li, Y., Huang, H., Cao, J., He, R., Tan, T.: Disentangled representation learning of makeup portraits in the wild. In: International Journal of Computer Vision (2019)
Sun, Y., Ren, L., Wei, Z., Liu, B., Zhai, Y., Liu, S.: A weakly supervised method for makeup-invariant face verification. Pattern Recognit. 66, 153–159 (2017)
Yu, A., Wu, H., Huang, H., Lei, Z., He, R.: Lamp-hq: a large-scale multi-pose high-quality database for nir-vis face recognition (2019). arXiv:1912.07809
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Li, Y., Huang, H., He, R., Tan, T. (2020). Suggestion. In: Heterogeneous Facial Analysis and Synthesis. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-13-9148-4_5
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DOI: https://doi.org/10.1007/978-981-13-9148-4_5
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