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Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security |
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Editor(s): Leonard Barolli, Makoto Takizawa, Fatos Xhafa and Tomoya Enokido |
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Advances in Intelligent Systems and Computing |
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10.1007/978-3-030-15035-8_92 |
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| Abstract |
We propose Polar Topographic Derivatives (PTD) to fuse the shape and texture information of a facial surface for 3D face recognition. Polar Average Absolute Deviations (PAADs) of the Gabor topography maps are extracted as features. High-order polar derivative patterns are obtained by encoding texture variations in a polar neighborhood. By using the and Bosphorus 3D face database, our method shows that it is robust to expression and pose variations comparing to existing state-of-the-art benchmark approaches. |
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Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019), p. 936-945 |
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