Performance characterization of fundamental matrix estimation under image degradation
| Autor: | Philip H. S. Torr, A. Zissermann |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
business.industry
Eight-point algorithm Epipolar geometry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.file_format Lossy compression JPEG Image degradation Computer Science Applications Matrix estimation Hardware and Architecture Essential matrix Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Computer vision Computer Vision and Pattern Recognition Artificial intelligence Fundamental matrix (computer vision) business computer Software Mathematics |
| Zdroj: | Machine Vision and Applications. 9:321-333 |
| ISSN: | 1432-1769 0932-8092 |
| DOI: | 10.1007/s001380050051 |
| Popis: | The fundamental matrix represents the epipolar geometry between two images. We describe an algorithm for simultaneously estimating the fundamental matrix and corresponding points automatically from the two images. The performance of this algorithm is then assessed as the images are degraded by JPEG lossy compression. A number of performance measures are proposed and evaluated over image pairs corresponding to different camera motions and scene types. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink