Histograms of fuzzy oriented gradients for face recognition

DOIResolve DOI: http://doi.org/10.1109/ICCAT.2013.6522006
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Proceedings titleInternational Conference on Computer Applications Technology, ICCAT 2013
Conference2013 International Conference on Computer Applications Technology, ICCAT 2013, 20 January 2013 through 22 January 2013, Sousse
Article number6522006
SubjectDimensional vectors; Feature dimensions; Feature vectors; HFOG; High dimensional feature; Histogram of oriented gradients (HOG); HOG; Oriented gradients; Computer applications; Fuzzy sets; Graphic methods; Statistical methods; Face recognition
AbstractEfficient face descriptors require a careful equilibration between accuracy and feature dimension. In recent years Histogram of Oriented Gradient (HOG) starts to be used in the face recognition task. However the best recognition rate for HOG requires a high dimensional feature. In this paper, we will incorporate fuzzy concept to HOG aiming to achieve a good recognition rate with a low feature vector dimension. The proposed Histogram of Fuzzy Oriented Gradient is applied to the face recognition task. Experimental results on ORL database have demonstrated that HFOG outperforms the original HOG with a lower dimensional vector. © 2013 IEEE.
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AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology (IIT-ITI)
Peer reviewedYes
NPARC number21269730
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Record identifiere488d603-ebe2-47c6-98c1-b0c84f31a721
Record created2013-12-13
Record modified2016-05-09
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