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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhang, Lei Zhang, Hong-Chao Huang, Hua |
| Abstract | Collage is a composite artwork made from assemblage of different material forms. In this work, we present a novel approach for creating a fantastic collage artform, namely Arcimboldo-like collage, which represents an input image with multiple thematically-related cutouts from the filtered Internet images. Due to the massive data of Internet images, competent image cutouts can almost always be discovered to match the segmented components of the input image. The selected cutouts are purposefully arranged such that as a whole assembly, they can represent the input image with disguise in both shape and color; but separately, individual cutout is still recognizable as its own being. Experimental results and user study show that our algorithm can effectively produce the entertaining Arcimboldo-like collages. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450308076 |
| DOI | 10.1145/2024156.2024189 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-12-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Layer ordering Segmentation Internet image Arcimboldo collage |
| Content Type | Text |
| Resource Type | Article |
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