ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
36.16
Session ID : AIT2012-71
Conference information
Sample-Based Painterly Image Generation Using GIST
Noriyuki ABEMasahiro TOYOURAXiaoyang MAO
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Abstract
We present a new technique for artistic style transferring by considering the perceptual structure matching between source image and target images. Given a photograph, our technique first searches for an existing art work on a similar scene through using the computational model of GIST perception and then transfers both the color and brush texture from it by considering the structure matching between two images. The proposed method is fully automatic and can be used for transferring any styles.
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© 2012 The Institute of Image Information and Television Engineers
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