Abstract | ||
---|---|---|
Human body scanners can quickly provide clouds of more than 200 000 points representing the human body's surface. Many new applications can be derived from the ability to build a 3D model of a real person, especially in the textile industry allowing virtual try-on approachs. However, getting a regular model, suitable for these applications from scanned data is not a straightforward task. In this paper, we propose a model-based approach to model a specific person. We use a generic model whitch is segmented and points are organized in slices. We adapt the sizes of each body limb and then fit each slice on the data, limb by limber. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-01811-4_30 | MIRAGE |
Keywords | Field | DocType |
new application,generic model whitch,scanned data,model-based approach,human body reconstruction,body limb,specific person,real person,human body,human body scanner,regular model,textile industry | Computer vision,Human body modeling,Computer graphics (images),Computer science,Artificial intelligence,Human body | Conference |
Volume | ISSN | Citations |
5496 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thibault Luginbühl | 1 | 1 | 0.71 |
Philippe Guerlain | 2 | 0 | 0.34 |
André Gagalowicz | 3 | 260 | 66.69 |