Automatic Facial Recognition: A Systematic Review on the Problem of Light Variation
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-39516-6_20
Reference22 articles.
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2. Arandjelovi, O., Cipolla, R.: Colour invariants for machine face recognition. In: 8th IEEE International Conference on Automatic Face Gesture Recognition, FG 2008, pp. 1–8, September 2008
3. Arandjelovi, O., Cipolla, R.: A pose-wise linear illumination manifold model for face recognition using video. Comput. Vis. Image Underst. 113(1), 113–125 (2009). http://dx.doi.org/10.1016/j.cviu.2008.07.010
4. Arandjelovi, O., Cipolla, R.: Achieving robust face recognition from video by combining a weak photometric model and a learnt generic face invariant. Pattern Recogn. 46(1), 9–23 (2013). http://dx.doi.org/10.1016/j.patcog.2012.06.024
5. Arandjelovi, O., Hammoud, R., Cipolla, R.: Thermal and reflectance based personal identification methodology under variable illumination. Pattern Recogn. 43(5), 1801–1813 (2010). http://dx.doi.org/10.1016/j.patcog.2009.11.023
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