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3D face recognition using photometric stereo and deep learning (2020)
Conference Proceeding
Kneis, B., & Zhang, W. (2020). 3D face recognition using photometric stereo and deep learning. In Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics (255–261). https://doi.org/10.1145/3405962.3405995

Illumination variance is one of the largest real-world problems when deploying face recognition systems. Over the last few years much work has gone into the development of novel 3D face recognition methods to overcome this issue. Photometric stereo i... Read More about 3D face recognition using photometric stereo and deep learning.

Eye centre localisation with convolutional neural network based regression (2020)
Conference Proceeding
Zhang, W., & Smith, M. (2020). Eye centre localisation with convolutional neural network based regression. https://doi.org/10.1109/ICIVC47709.2019.8980972

This paper introduces convolutional neural network regression models based on the Inception-v3 and the DenseNet architectures for accurate and real-time eye centre localisation. At a normalised error of e < 0.05, the proposed method yields an accurac... Read More about Eye centre localisation with convolutional neural network based regression.