Name
Abstract | ||
|---|---|---|
We present a pose estimation method from an initial unreliable guess using calibrated stereo images. The approach does not rely on a priori known salient features on the surface. The stereo images are brought in congruence without computing a disparity map like in standard stereo algorithms. Instead, the pose parameters of the object are varied to match the stereo images on the known surface shape. Our approach takes into account the aliasing effects introduced due to irregular sub-sampling and is not limited to simple geometric surfaces. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1047390 | ICPR (4) |
Keywords | DocType | Volume |
calibrated stereo images,salient feature,stereo images,irregular sub-sampling,standard stereo algorithm,pose estimation,aliasing effects,estimation method,congruence,disparity map,pose parameters,stereo image processing,simple geometric surface,stereo image,known surface shape,dof pose refinement,featureless 6-dof pose refinement,calibration,mechatronics,shape,surface reconstruction,robots,head,tracking,surface texture | Conference | 4 |
ISSN | Citations | PageRank |
1051-4651 | 3 | 0.44 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sepp, Wolfgang | 1 | 3 | 0.44 |
| gerd hirzinger | 2 | 5185 | 617.40 |