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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haindl, M. Zid, P. |
| Copyright Year | 1998 |
| Description | Author affiliation: Inst. of Inf. Theor. & Autom., Czech Tech. Univ., Prague, Czech Republic (Haindl, M.) |
| Abstract | A new algorithm for planar face segmentation in range images is introduced. The segmentation is based on a combination of recursive adaptive regression model prediction for detecting range image step discontinuities which are present at object face borders and of a region growing on surface lines. Border pixels are detected in two perpendicular directions and detection results are combined together. Two predictors in each direction use identical contextual information from the pixel neighbourhood and they mutually compete for the most optimal discontinuity defection. |
| Starting Page | 985 |
| Ending Page | 987 |
| File Size | 82243 |
| Page Count | 3 |
| File Format | |
| ISBN | 0818685123 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.1998.711853 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-08-20 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Electrical capacitance tomography Testing Acoustic noise Working environment noise Face detection Information theory Automation Content addressable storage Context-aware services |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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