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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Davis, J. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Comput. Sci., Stanford Univ., CA, USA (Davis, J.) |
| Abstract | Image mosaics are useful for a variety of tasks in vision and computer graphics. A particularly convenient way to generate mosaics is by 'stitching' together many ordinary photographs. Existing algorithms focus on capturing static scenes. This paper presents a complete system for creating visually pleasing mosaics in the presence of moving objects. There are three primary contributions. The first component of our system is a registration method that remains unbiased by movement-the Mellin transform is extended to register images related by a projective transform. Second an efficient method for finding a globally consistent registration of all images is developed. By solving a linear system of equations, derived from many pairwise registration matrices, we find an optimal global registration. Lastly, a new method of compositing images is presented. Blurred areas due to moving objects are avoided by segmenting the mosaic into disjoint regions and sampling pixels in each region from a single source image. |
| Starting Page | 354 |
| Ending Page | 360 |
| File Size | 1654675 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818684976 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1998.698630 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Cameras Computer graphics Transforms Pixel Computer science Linear systems Equations Image segmentation Image sampling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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