Title :
ImageAdmixture: Putting Together Dissimilar Objects from Groups
Author :
Zhang, Fang-Lue ; Cheng, Ming-Ming ; Jia, Jiaya ; Hu, Shi-Min
Author_Institution :
TNList, Tsinghua Univ., Beijing, China
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.
Keywords :
feature extraction; image texture; ImageAdmixture; appearance similarity; curvilinear features; dissimilar objects; element separation; image synthesis methods; irregular spatial distribution; natural image mixing; object-level operations; semiautomatic image editing framework; structure preserving appearance transfer; structured object replacement; texture mixing; visually compelling results; Active contours; Feature extraction; Image color analysis; Image segmentation; Shape; Vectors; Visualization; Natural image; image processing; structure analysis; texture;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2012.68