In 2004, we proposed an approach to facial representation based on LBP features. The face image is divided into regions from which the LBP features are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. This approach is one of the milestones in face recognition research, receiving the prestigious Koenderink Prize at ECCV 2014 for fundamental contributions in computer vision that stood the test of time. It has been adopted and further developed by many groups and companies around the world. In 2007, the face descriptor was extended to videos using spatiotemporal LBP-TOP operators to describe facial dynamics, Also this approach has been adopted by many others.
In face biometrics, our current key focus of research is in developing effective methods for anti-spoofing. Another area of the recent research is soft biometrics, with an aim to develop robust methods, e.g. for gender recognition, age estimation and kinship verification from facial images.
Ahonen T, Hadid A & Pietikäinen M (2004) Face recognition with local binary patterns. In: Computer Vision, ECCV 2004 Proceedings, Lecture Notes in Computer Science 3021, 469-481.
Hadid A, Pietikäinen M & Ahonen T (2004) A discriminative feature space for detecting and recognizing faces. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, 2:797-804.
Ahonen T, Hadid A & Pietikäinen M (2006) Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12):2037-2041.
Hadid A & Pietikäinen M (2009) Combining appearance and motion for face and gender recognition from videos. Pattern Recognition 42(11):2818-2827.
Ylioinas J, Hadid A & Pietikäinen M (2012) Age classification in unconstrained conditions using LBP variants. Proc. 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 1257-1260.
Chan CH, Tahir M, Kittler J & Pietikäinen M (2013) Multiscale local phase quantisation for robust component-based face recognition using kernel fusion of multiple descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(5):1164-1177.
Lei Z, Pietikäinen M & Li SZ (2014) Learning discriminant face descriptor. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(2):289-302.
Bordallo-Lopez M, Boutellaa E & Hadid A (2016) Comments on the "Kinship Face in the Wild" data sets. IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.
Boutellaa E, Bordallo-Lopez M, Ait-Aoudia S, Feng X & Hadid A (2016) Kinship verification from videos using texture spatio-temporal features and deep learning. Proc. IAPR International Conference on Biometrics (ICB 2016).
Last updated: 22.8.2016