Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SIBGRAPI.2013.46 | SIBGRAPI |
Keywords | Field | DocType |
parametric human model,recorded person,human model,depth camera,human models,ongoing effort,computer graphics,caesar database,human subject,human source,stylization technique,pose estimation,image sensors | Computer vision,Image sensor,Computer graphics (images),Computer science,Solid modelling,Pose,Parametric statistics,Animation,Artificial intelligence,Computer graphics | Conference |
ISSN | Citations | PageRank |
1530-1834 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edilson De Aguiar | 1 | 514 | 25.53 |
| Edilson De Aguiar | 2 | 514 | 25.53 |
| Leandro Lesqueves Costalonga | 3 | 3 | 2.42 |
| Luís Otávio Rigo Júnior | 4 | 0 | 0.34 |
| Rodolfo da Silva Villaça | 5 | 9 | 2.30 |
| Lesqueves Costalonga, L. | 6 | 0 | 0.34 |
| Rigo Junior, L.O. | 7 | 0 | 0.34 |