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@inproceedings{ICASSP2010,

title = {Removing Illumination Artifacts from Face Images using the Nuisance Attribute Projection},

author = {Vitomir Štruc and Boštjan Vesnicer and France Mihelič and Nikola Pavešić},

url = {https://lmi.fe.uni-lj.si/en/removingilluminationartifactsfromfaceimagesusingthenuisanceattributeprojection/},

doi = {10.1109/ICASSP.2010.5495203},

year  = {2010},

date = {2010-03-01},

urldate = {2010-03-01},

booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'10)},

pages = {846-849},

publisher = {IEEE},

address = {Dallas, Texas, USA},

abstract = {Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several techniques have been presented in the literature to cope with this problem; however, a universal solution remains to be found. In this paper we present a novel normalization scheme based on the nuisance attribute projection (NAP), which tries to remove the effects of illumination by projecting away multiple dimensions of a low dimensional illumination subspace. The technique is assessed in face recognition experiments performed on the extended YaleB and XM2VTS databases. Comparative results with state-of-the-art techniques show the competitiveness of the proposed technique.},

keywords = {biometrics, face recognition, face verification, illumination changes, illumination invariance, nuisance attribute projection, robust recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ERK2009N,

title = {Nuisance Attribute Projection in the Logarithm Domain for Face Recognition under Severe Illumination Changes},

author = {Vitomir Štruc and Zongmin Ma and Nikola Pavešić},

year  = {2009},

date = {2009-09-01},

booktitle = {Proceedings of the IEEE International Electrotechnical and Computer Science Conference (ERK'09)},

pages = {279-281},

address = {Portorož, Slovenia},

keywords = {biometrics, face verification, illumination changes, illumination invariance, nuisance attribute projection, performance evaluation, robust recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{BioID_Multi2009,

title = {Illumination Invariant Face Recognition by Non-Local Smoothing},

author = {Vitomir Štruc and Nikola Pavešić},

url = {https://lmi.fe.uni-lj.si/en/illuminationinvariantfacerecognitionbynon-localsmoothing/},

year  = {2009},

date = {2009-01-01},

urldate = {2009-01-01},

booktitle = {Biometric ID management and multimodal communication},

volume = {5707},

pages = {1-8},

publisher = {Springer-Verlag},

address = {Berlin, Heidelberg},

series = {Lecture Notes on Computer Science},

abstract = {Existing face recognition techniques struggle with their performance when identities have to be determined (recognized) based on image data captured under challenging illumination conditions. To overcome the susceptibility of the existing techniques to illumination variations numerous normalization techniques have been proposed in the literature. These normalization techniques, however, still exhibit some shortcomings and, thus, offer room for improvement. In this paper we identify the most important weaknesses of the commonly adopted illumination normalization techniques and presents two novel approaches which make use of the recently proposed non-local means algorithm. We assess the performance of the proposed techniques on the YaleB face database and report preliminary results.},

keywords = {biometrics, face verification, illumination changes, illumination invariance, illumination normalization, pca, preprocessing},

pubstate = {published},

tppubtype = {inproceedings}

}