| Paper: | MA-P1.10 |
| Session: | Stereoscopic and 3D Processing I: Coding and Processing |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
CAMERA-TO-CAMERA GEOMETRY ESTIMATION REQUIRING NO OVERLAP IN THEIR VISUAL FIELDS |
| Authors: |
Ding Yuan; Chinese University of Hong Kong | | |
| | Ronald Chung; Chinese University of Hong Kong | | |
| Abstract: |
Calibrating the relative geometry between cameras which would move against one another from time to time is an important problem in multi-camera system. Most of the existing calibration technologies are based on the cross-camera feature correspondences. This paper presents a new solution method. The method demands image data captured under a rigid motion of the camera pair, but unlike the existing motion correspondence-based calibration methods, it does not estimate optical flows nor motion correspondences explicitly. Instead it estimates the inter-camera geometry from the observations that are directly available from the two image streams – the monocular normal flows. Experimental results on real image data are shown to illustrate the feasibility of the solution. |
