Face and gesture recognition for human computer interaction employing 2DHoG

Face and hand gesture recognition is one of the most challenging topics in computer vision. In this paper, a novel algorithm presenting a new 2D representation of histogram of oriented gradients is proposed, where each bin represents a range of angles dealt with in a separate layer employing 2DPCA....

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Bibliographic Details
Published in2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS) pp. 1112 - 1115
Main Authors Abdelwahab, Moataz M., ElSaadany, Omnia S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Accuracy
Computer vision
Face
Face recognition
Gesture recognition
Histograms
Training
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Summary:Face and hand gesture recognition is one of the most challenging topics in computer vision. In this paper, a novel algorithm presenting a new 2D representation of histogram of oriented gradients is proposed, where each bin represents a range of angles dealt with in a separate layer employing 2DPCA. This method maintains the spatial relation between pixels which enhance the recognition accuracy. In addition it can be applied on either face or hand gesture images. Experimental results confirm excellent properties of the proposed algorithm and promotes it for real time applications.
ISSN:1548-3746
1558-3899
DOI:10.1109/MWSCAS.2013.6674847