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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | da Silva Pires, D. Cesar, R.M. Vieira, M.B. Velho, L. |
| Copyright Year | 2005 |
| Description | Author affiliation: Universidade de São Paulo (da Silva Pires, D.) |
| Abstract | This work presents a method for the detection, tracking and spatial matching of connected components in a 3D video stream. The video image information is combined with 3D sites in order to align pieces of surfaces that are seen in subsequent frames. This is a key step in 3D video analysis for enabling several applications such as compression, geometric integration and scene reconstruction, to name a few. Our approach is to detect salient features in both image and world spaces for further alignment of texture and geometry. We use a projector-camera system to obtain high quality texture and geometry at 30 fps. Successful experimental results corroborating our method are shown. |
| Starting Page | 257 |
| Ending Page | 264 |
| File Size | 454940 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769523897 |
| ISSN | 15301834 |
| DOI | 10.1109/SIBGRAPI.2005.49 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-09 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Streaming media Video compression Layout Computer vision Computer graphics Carbon capture and storage Information geometry Cameras Stereo vision Surface reconstruction |
| Content Type | Text |
| Resource Type | Article |
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