ImageAdmixture: Putting Together Dissimilar Objects from Groups

Zhang, Fang-Lue, Cheng, Ming-Ming, Jia, Jiaya and Hu, Shi-Min ORCID: https://orcid.org/0000-0001-7507-6542 2012. ImageAdmixture: Putting Together Dissimilar Objects from Groups. IEEE Transactions on Visualization and Computer Graphics 18 (11) , pp. 1849-1857. 10.1109/TVCG.2012.68

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Abstract

We present a semiautomatic image editing framework dedicated to individual structured object replacement from groups. The major technical difficulty is element separation with irregular spatial distribution, hampering previous texture, and image synthesis methods from easily producing visually compelling results. Our method uses the object-level operations and finds grouped elements based on appearance similarity and curvilinear features. This framework enables a number of image editing applications, including natural image mixing, structure preserving appearance transfer, and texture mixing.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Natural image, image processing, structure analysis, texture
Publisher:	IEEE
ISSN:	1077-2626
Last Modified:	24 Oct 2022 10:37
URI:	https://orca.cardiff.ac.uk/id/eprint/45173

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