Multi-layer Mosaics in the Presence of Motion and Depth Effects
In this paper, we present a new segmentation-based 2D mosaic framework. Most of mosaic algorithms do not explicitly remove moving objects from images before registration, so that they often fail when the size of the moving objects is relatively large. To solve this problem, we first segment moving o...
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| creator | Changki Min Qian Yu Medioni, G. |
| description | In this paper, we present a new segmentation-based 2D mosaic framework. Most of mosaic algorithms do not explicitly remove moving objects from images before registration, so that they often fail when the size of the moving objects is relatively large. To solve this problem, we first segment moving objects from the input images using the tensor voting framework, and then only the remaining backgrounds are processed for the background mosaic. The second mosaicking step is straightforward because the first motion segmentation step also produces very accurate dense matches. By providing comparative examples, we show that the quality of the background mosaics can be significantly improved by our framework |
| doi_str_mv | 10.1109/ICPR.2006.822 |
| format | Conference Proceeding |
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| ispartof | 18th International Conference on Pattern Recognition (ICPR'06), 2006, Vol.1, p.992-995 |
| issn | 1051-4651 2831-7475 |
| language | eng |
| recordid | cdi_ieee_primary_1699056 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer vision Data mining Image segmentation Image sequences Intelligent robots Motion segmentation Parameter estimation Robustness Tensile stress Voting |
| title | Multi-layer Mosaics in the Presence of Motion and Depth Effects |
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