%0 Journal Article %1 Grgic2011 %A Grgic, Mislav %A Delac, Kresimir %A Grgic, Sonja %D 2011 %J Multimedia Tools and Applications %K face_recognition %N 3 %P 863--879 %R 10.1007/s11042-009-0417-2 %T SCface -- surveillance cameras face database %U http://dx.doi.org/10.1007/s11042-009-0417-2 %V 51 %X In this paper we describe a database of static images of human faces. Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities. Database contains 4,160 static images (in visible and infrared spectrum) of 130 subjects. Images from different quality cameras should mimic real-world conditions and enable robust face recognition algorithms testing, emphasizing different law enforcement and surveillance use case scenarios. In addition to database description, this paper also elaborates on possible uses of the database and proposes a testing protocol. A baseline Principal Component Analysis (PCA) face recognition algorithm was tested following the proposed protocol. Other researchers can use these test results as a control algorithm performance score when testing their own algorithms on this dataset. Database is available to research community through the procedure described at www.scface.org .

@article{Grgic2011, abstract = {In this paper we describe a database of static images of human faces. Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities. Database contains 4,160 static images (in visible and infrared spectrum) of 130 subjects. Images from different quality cameras should mimic real-world conditions and enable robust face recognition algorithms testing, emphasizing different law enforcement and surveillance use case scenarios. In addition to database description, this paper also elaborates on possible uses of the database and proposes a testing protocol. A baseline Principal Component Analysis (PCA) face recognition algorithm was tested following the proposed protocol. Other researchers can use these test results as a control algorithm performance score when testing their own algorithms on this dataset. Database is available to research community through the procedure described at www.scface.org .}, added-at = {2016-07-29T18:20:43.000+0200}, author = {Grgic, Mislav and Delac, Kresimir and Grgic, Sonja}, biburl = {https://www.bibsonomy.org/bibtex/2383fe8c188ca88598310d88b1ce9c9d4/alex_ruff}, description = {SCface – surveillance cameras face database | SpringerLink}, doi = {10.1007/s11042-009-0417-2}, interhash = {05c7516e39a6a87ddba729819c1c9c5f}, intrahash = {383fe8c188ca88598310d88b1ce9c9d4}, issn = {1573-7721}, journal = {Multimedia Tools and Applications}, keywords = {face_recognition}, number = 3, pages = {863--879}, timestamp = {2016-07-29T18:20:43.000+0200}, title = {SCface -- surveillance cameras face database}, url = {http://dx.doi.org/10.1007/s11042-009-0417-2}, volume = 51, year = 2011 }