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Volume: 30 | Article ID: art00017
Color Facial Image Representation with New Quaternion Gradients
  DOI :  10.2352/ISSN.2470-1173.2018.13.IPAS-383  Published OnlineJanuary 2018

This paper proposes a new color image representation and multiple feature fusion based method for improving color face recognition performance under different lighting conditions. First, a new image color image representation has been derived. Second, a quaternion gradient has been given to enhance and extract the faces/object's edges, contours, and texture. Also, we propose a novel feature representation based on Quaternion Gradient-based LBP tool for color face recognition. Finally, we present a concept of combining the color facial recognition system, which is based on the local quaternion gradients based binary patterns LBP Image Representation, and a new color-to-gray new mapping. The presented concept can be used for surveillance, security systems, computer animation, face tagging, human–computer interface, biometric identification, behavioral analysis, content-based image and video indexing applications.

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Artyom Grigoryan, Sos Agaian, "Color Facial Image Representation with New Quaternion Gradientsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVI,  2018,  pp 383-1 - 383-7,

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