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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rasmussen, C. Korah, T. Ulrich, W. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci., Delaware Univ., Newark, DE, USA (Rasmussen, C.; Korah, T.; Ulrich, W.) |
| Abstract | We present two key parts of an ongoing robotic, vision-based architectural modeling project. The first component is a randomized approach to view planning for a single ground robot scanning a building perimeter to recover a series of texture map mosaics. This algorithm generates paths that simultaneously address coverage and quality (i.e., real-valued distance and foreshortening factors). The second part is a technique for "cleaning" the captured texture maps in the presence of occlusions caused by trees, signs, people, and other foreground objects. When such occlusions comprise a minority of views a background feature can be recovered via temporal median filtering, but when they are in the majority, appearance information from other visible portions of the facade provides a critical cue to correctly complete the mosaic. We describe a novel spatiotemporal timeline-based inpainting algorithm that identifies and corrects such areas. |
| Starting Page | 4137 |
| Ending Page | 4142 |
| File Size | 386101 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780389123 |
| DOI | 10.1109/IROS.2005.1545484 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-02 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Buildings Robot vision systems Cameras Computer vision Information filtering Information filters Spatiotemporal phenomena Filtering algorithms Path planning Computational geometry |
| Content Type | Text |
| Resource Type | Article |
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