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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | de Aguiar, E. Lesqueves Costalonga, L. Rigo Junior, L.O. da Silva Villaca, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: DCEL, UFES, Sao Mateus, Brazil (de Aguiar, E.; Lesqueves Costalonga, L.; Rigo Junior, L.O.; da Silva Villaca, R.) |
| Abstract | Capturing and creating models of human subjects is an ongoing effort in computer graphics. In this paper, we present a framework to capture, model, simplify, and stylize an human subject. We use a consumer 3D depth camera that captures the appearance, shape, and pose of the recorded person. We then fit this data with a parametric human model that is based on 3D scans available from the CAESAR database. Once we have a personalized 3D human model, we can apply stylization techniques to create a variety of outputs. We present several results obtained with our framework and verify that these models remain recognizable as their human sources. |
| Starting Page | 282 |
| Ending Page | 287 |
| File Size | 1824371 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769550992 |
| ISSN | 15301834 |
| DOI | 10.1109/SIBGRAPI.2013.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-05 |
| Publisher Place | Peru |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Three-dimensional displays Solid modeling Head Semantics Clothing Cameras animation morphable model customized models stylization |
| Content Type | Text |
| Resource Type | Article |
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