Facial-Expression-Aware Emotional Color Transfer Based On Convolutional Neural Network

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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Emotional color transfer aims to change the evoked emotion of the source image to that of the target image by adjusting color distribution. Most of existing emotional color transfer methods ignore the facial expression features in the image. Therefore, we propose a new facial-expression-aware emotional color transfer framework. We firstly predict the emotion label of the image through the emotion classification network. Then, emotion labels are matched with pre-trained emotional models. Finally, we use the matched emotion model to transfer the color of the target image to the input image. Experiments demonstrate that our method outperforms the state-of-the-arts, which can successfully capture and transfer sophisticated emotion features.
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@inproceedings{
10.2312:pg.20181291
, booktitle = {
Pacific Graphics Posters
}, editor = {
Fu, Hongbo and Ghosh, Abhijeet and Kopf, Johannes
}, title = {{
Facial-Expression-Aware Emotional Color Transfer Based On Convolutional Neural Network
}}, author = {
Pei, Min
and
Liu, Shiguang
and
Zhang, Xiaoli
}, year = {
2018
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-074-1
}, DOI = {
10.2312/pg.20181291
} }
Citation