Color Facial Image Representation with New Quaternion Gradients
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...
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| Vydané v: | Electronic Imaging Ročník 30; číslo 13; s. 383-1 - 383-7 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Society for Imaging Science and Technology
28.01.2018
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| Predmet: | |
| ISSN: | 2470-1173, 2470-1173 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | 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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| Bibliografia: | 2470-1173(20180128)2018:13L.3831;1- |
| ISSN: | 2470-1173 2470-1173 |
| DOI: | 10.2352/ISSN.2470-1173.2018.13.IPAS-383 |