Publications

@inproceedings{ERK2013_Struc,

title = {Exploiting representation plurality for robust and efficient face recognition},

author = {Vitomir Štruc and Jeneja Žganec Gros and Simon Dobrišek and Nikola Pavešić},

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

year  = {2013},

date = {2013-09-01},

urldate = {2013-09-01},

booktitle = {Proceedings of the 22nd Intenational Electrotechnical and Computer Science Conference (ERK'13)},

volume = {vol. B},

pages = {121--124},

address = {Portorož, Slovenia},

abstract = {The paper introduces a novel approach to face recognition that exploits plurality of representation to achieve robust face recognition. The proposed approach was submitted as a representative of the University of Ljubljana and Alpineon d.o.o. to the 2013 face recognition competition that was held in conjunction with the IAPR International Conference on Biometrics and achieved the best overall recognition results among all competition participants. Here, we describe the basic characteristics of the submitted approach, elaborate on the results of the competition and, most importantly, present some general findings made during our development work that are of relevance to the broader (face recognition) research community.},

keywords = {competition, erk, face recognition, face verification, group evaluation, ICB, mobile biometrics, MOBIO, performance evaluation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ERK2009S,

title = {Face Recognition using Sparse Projection Axes},

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 = {271-274},

address = {Portorož, Slovenia},

keywords = {biometrics, erk, face recognition, face verification, performance evaluation, sparse projection analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ERK2008,

title = {Combining experts for improved face verification performance},

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

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

year  = {2008},

date = {2008-09-01},

urldate = {2008-09-01},

booktitle = {Proceedings of the IEEE International Electrotechnical and Computer Science Conference (ERK'08)},

pages = {233-236},

address = {Portorož, Slovenia},

abstract = {Samodejno razpoznavanje (avtentikacija/identifikacija) obrazov predstavlja eno najaktivnejših raziskovalnih področij biometrije. Avtentikacija oz. identifikacija oseb z razpoznavanjem obrazov ponuja možen način povečanja varnosti pri različnih dejavnostih, (npr. pri elektronskem poslovanju na medmrežju, pri bančnih storitvah ali pri vstopu v določene prostore, stavbe in države). Ponuja univerzalen in nevsiljiv način razpoznavanja oseb, ki pa trenutno še ni dovolj zanesljiv. Kot možna rešitev problema zanesljivosti razpoznavanja se v literaturi vse pogosteje pojavljajo večmodalni pristopi, v katerih se razpoznavanje izvede na podlagi večjega števila postopkov razpoznavanja obrazov. V skladu z opisanim trendom, bomo v članku ovrednotili zanesljivost delovanja različnih postopkov razpoznavanja obrazov, ki jih bomo na koncu združili še v večmodalni pristop. S pomočjo eksperimentov na podatkovni zbirki XM2VTS bomo preverili zanesljivost delovanja večmodalnega pristopa in jo primerjali z zanesljivostjo uveljavljenih postopkov razpoznavanja.},

keywords = {biometrics, erk, face recognition, face verification, fusion, performance evaluation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ERK2007,

title = {Color spaces for face recognition},

author = {Nikola Pavešić Vitomir Štruc France Mihelič},

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

year  = {2007},

date = {2007-01-01},

urldate = {2007-01-01},

booktitle = {Proceedings of the International Electrotechnical and Computer Science Conference (ERK'07)},

pages = {171-174},

address = {Portorož, Slovenia},

abstract = {The paper investigates the impact that the face-image color space has on the verification performance of two popular face recognition procedures, i.e., the Fisherface approach and the Gabor-Fisher classifier - GFC. Experimental results on the XM2VTS database show that the Fisherface technique performs best when features are extracted from the Cr component of the YCbCr color space, while the performance of the Gabor-Fisher classifier is optimized when grey-scale intensity face-images are used for feature extraction. Based on these findings, a novel face recognition framework that combines the Fisherface and the GFC method is introduced in this paper and its feasibility demonstrated in a comparative study where, in addition to the proposed method, six widely used feature extraction techniques were tested for their face verification performance.},

key = {ERK2007},

keywords = {biometrics, color spaces, computer vision, erk, face recognition, local conference},

pubstate = {published},

tppubtype = {inproceedings}

}