Details

Title

Multimodal face recognition method with two-dimensional hidden Markov model

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2017

Volume

65

Issue

No 1

Authors

Divisions of PAS

Nauki Techniczne

Coverage

121-128

Date

2017

Identifier

DOI: 10.1515/bpasts-2017-0015 ; ISSN 2300-1917

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; 2017; 65; No 1; 121-128

References

Chang (2005), An evaluation of multimodal face biometrics IEEE Transaction on Pattern Analysis and Machine, Intelligence, 27, 619. ; Gordon (1992), Face recognition based on depth and curvature features Computer Vision and Pattern, Recognition, 1, 808. ; Bobulski (2016), - based face recognition method Image Processing, Comunication Chalenges, 7, 389. ; Lu (2006), Matching face scans to models Transactions on Pattern Analysis and Machine, IEEE Intelligence, 28, 31. ; Yujian (2007), An analytic solution for estimating two - dimensional hidden Markov models Mathematics and Computation, Applied, 185. ; Li (2000), Image classification by a two dimensional hidden Markov model Transactions on Signal Processing, IEEE, 48. ; Mahoor (2009), Mottaleb Face recognition based on ridge images obtained from range data, Pattern Recognition, 42, 445, doi.org/10.1016/j.patcog.2008.08.012 ; Colombo (2011), database of partially Occluded faces Conference on Computer Vision Workshops Barcelona, Proc IEEE International, 2113. ; Prochazka (2011), Three - dimensional wavelet transform in multi - dimensional biomedical volume processing of the IASTED International Conference on Graphics and Virtual Reality Cambridge, Proc, 263. ; Bevilacqua (2008), A face recognition system based on pseudo applied to neural network coefficients, Soft Computing, 12, 615, doi.org/10.1007/s00500-007-0253-0 ; Bobulski (2012), Person identiffication system using an identikit picture of the suspect, Optica Applicata, 42, 865. ; Phillips (2000), The FERET evaluation methodology for face recognition algorithms Transactions on Pattern Analysis and Machine Intelligence, IEEE, 22, 1090. ; Abate (2007), and face recognition survey, Pattern Recognition Letters, 28, 1885, doi.org/10.1016/j.patrec.2006.12.018 ; Zhao (2003), Face recognition literature survey, ACM Computing Surveys, 35, 99, doi.org/10.1145/954339.954342 ; Rama (2010), Aligned texture map creation for pose invariant face recognition Applications, Multimedia Tools, 49, 545, doi.org/10.1007/s11042-009-0447-9 ; Berretti (2013), Automatic facial expression recognition in real - time from dynamic sequences of face scans The Visual, Computer, 29, 1333.
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