%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 11:18:46 AM

@ARTICLE{McCool_PRL_2010,
                      author = {McCool, Chris and Sanchez-Riera, Jordi and Marcel, S{\'{e}}bastien},
                    keywords = {3D face recognition, Face, Face Recognition, Feature Distribution Modelling, GMM, HMM},
                    projects = {Idiap, MOBIO},
                       title = {Feature distribution modelling techniques for 3D face recognition},
                     journal = {Pattern Recognition Letters},
                      volume = {31},
                        year = {2010},
                       pages = {1324-1330},
                    abstract = {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.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2010/McCool_PRL_2010.pdf}
}