ARTICLE McCool_PRL_2010/IDIAP Feature distribution modelling techniques for 3D face recognition McCool, Chris Sanchez-Riera, Jordi Marcel, Sébastien 3D face recognition Face Face Recognition Feature Distribution Modelling GMM HMM Pattern Recognition Letters 31 1324-1330 2010 This paper shows that Hidden Markov Models (HMMs) can be effectively ap- plied to 3D face data. The examined HMM techniques are shown to be superior to a previously examined Gaussian Mixture Model (GMM) technique. Experi- ments conducted on the Face Recognition Grand Challenge database show that the Equal Error Rate can be reduced from 0.88% for the GMM technique to 0.36% for the best HMM approach.