Sparse Kernel Principal Components Analysis for Face Recognition in RGB Spaces
نویسندگان
چکیده
منابع مشابه
Sparse Kernel Principal Components Analysis for Face Recognition in RGB Spaces
This paper presents a kinds of information fusion algorithm based on multi-channel color image. The color face image is first separated into three pseudo grayscale images: R, G, and B, then the partial characteristics of face is extracted by use of Gabor wavelet transform from each component to be eigenvector in series connection, which will be through dimensionality reduction by sparse kernel ...
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ژورنال
عنوان ژورنال: International Journal of Hybrid Information Technology
سال: 2014
ISSN: 1738-9968
DOI: 10.14257/ijhit.2014.7.2.20