An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
By Ajmal Saeed Mian, Mohammed Bennamoun, Robyn A. Owens. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
524 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9b3ed8190d99b107837de142324e4aa2be8b7eb2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shengcai Liao
- S. Li
- Munawar Hayat
- Mohammed Bennamoun
- Anil K. Jain
- Senjian An
- Liang Zheng
- Yassin Kortli
Citations in the corpus
- Deep Reconstruction Models for Image Set Classification (2015, background): “Compared with single image based classification, it offers more promises and has therefore attracted significant research attention in recent years.”
- Face Recognition Systems: A Survey (2020, methodology): “[98] present a multimodal (2D and 3D) face recognition system based on hybrid matching to achieve efficiency and robustness to facial expressions.”
- Partial Face Recognition: Alignment-Free Approach (2013, background): “A number of papers have been published on SIFT-based face recognition [45], [46], [47], [48].”