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Ghost removal method for image morphing using co-occurrence frequency image

Authors :
Takayuki Fujiwara
Yosuke Nagasaka
Hiroyasu Koshimizu
Takuma Funahashi
Source :
FCV
Publication Year :
2013
Publisher :
IEEE, 2013.

Abstract

Many image morphing methods require feature points meaning correspondence points between the input images by the hand. If user does not add feature points in detail, a noise called “ghost” appears in the output image. We propose a ghost removal method which extracts detailed feature points to modify a texture correspondence. The proposed method can remove the ghost at the textures having different gray values between the images.

Details

Database :
OpenAIRE
Journal :
The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
Accession number :
edsair.doi...........b177c74e8d474c3dc084e1fd2d12b173