Abstract
Rigorous sensor and dynamic modeling techniques are required if spatial information is to be accurately extracted from video imagery. First, a math model for an uncalibrated video camera and a description of a bundle adjustment with added parameters, for purposes of general block triangulation, is presented. The next topic involves the application of invariance-based techniques, with constraints, to derive initial approximations for the camera parameters. Finally, dynamic modeling using the Kalman Filter is discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 817-824 |
| Number of pages | 8 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 33 |
| State | Published - 2000 |
| Event | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands Duration: 16 Jul 2000 → 23 Jul 2000 |
Keywords
- Calibration
- Dynamic processes
- Image registration
- Image sequence
- Photogrammetry