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This paper studies the composition of portrait paintings and develops an algorithm to improve the composition of portrait photographs. The study of portrait paintings shows that placement of the face and the figure in portrait paintings is pose-related. Based on this observation, this paper develops an algorithm to improve the composition of a portrait photograph by learning the placement of the face...
In this paper, we propose a multi-feature based sparse representation method named multi-feature Fisher Discrimination Dictionary Learning (MFDDL) and apply it to face recognition. In the new proposed method, firstly, to extract the texture information, multi-scales and multi-orientations Gabor Wavelet Transform is proposed for feature representation. Then the local characteristics of the face Gabor...
This paper proposes an approach whereby the regional contrasts in snap-shot style portrait photographs are enhanced using pre-modern portrait paintings as aesthetic exemplars. The reference portrait painting is selected based on a comparison of the existing contrast properties of the painting and the photograph. The contrast style in the selected reference painting is transferred to the photograph...
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