Matching and Pose Refinement with Camera Pose Estimates
| dc.contributor.author | Coorg, Satyan | en_US |
| dc.contributor.author | Teller, Seth | en_US |
| dc.date.accessioned | 2023-03-29T14:40:21Z | |
| dc.date.available | 2023-03-29T14:40:21Z | |
| dc.date.issued | 1996-01 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/149268 | |
| dc.description.abstract | This paper describes novel algorithms that use absolute camera pose information to identify correspondence among point features in hundreds or thousands of images. Our incidence counting algorithm is a geometric approach to matching: it makes features by extruding them into an absolute 3-D coordinate system, then searching 3-D space for regions into which many features project. | en_US |
| dc.relation.ispartofseries | MIT-LCS-TM-561 | |
| dc.title | Matching and Pose Refinement with Camera Pose Estimates | en_US |
