A linear approach to motion estimation using generalized camera models
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Altmetric Citations
Li, Hongdong; Hartley, Richard; Kim, Jae-Hak
Description
A well-known theoretical result for motion estimation using the generalized camera model is that 17 corresponding image rays can be used to solve linearly for the motion of a generalized camera. However, this paper shows that for many common configurations of the generalized camera models (e.g., multi-camera rig, catadioptric camera etc.), such a simple 17-point algorithm does not exist, due to some previously overlooked ambiguities. We further discover that, despite the above ambiguities, we...[Show more]
dc.contributor.author | Li, Hongdong | |
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dc.contributor.author | Hartley, Richard | |
dc.contributor.author | Kim, Jae-Hak | |
dc.coverage.spatial | Anchorage Alaska | |
dc.date.accessioned | 2015-12-08T22:33:19Z | |
dc.date.created | June 24-26 2008 | |
dc.identifier.isbn | 9781424422432 | |
dc.identifier.uri | http://hdl.handle.net/1885/34627 | |
dc.description.abstract | A well-known theoretical result for motion estimation using the generalized camera model is that 17 corresponding image rays can be used to solve linearly for the motion of a generalized camera. However, this paper shows that for many common configurations of the generalized camera models (e.g., multi-camera rig, catadioptric camera etc.), such a simple 17-point algorithm does not exist, due to some previously overlooked ambiguities. We further discover that, despite the above ambiguities, we are still able to solve the motion estimation problem effectively by a new algorithm proposed in this paper. Our algorithm is essentially linear, easy to implement, and the computational efficiency is very high. Experiments on both real and simulated data show that the new algorithm achieves reasonably high accuracy as well. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
dc.relation.ispartofseries | Computer Vision and Pattern Recognition Conference (CVPR 2008) | |
dc.source | Proceedings of CVPR 2008 | |
dc.subject | Keywords: Camera modeling; Estimation problems; High-accuracy; Linear approach; Multi-camera rigs; New algorithm; Simulated data; Algorithms; Artificial intelligence; Cameras; Computer vision; Estimation; Feature extraction; Image processing; Pattern recognition; S | |
dc.title | A linear approach to motion estimation using generalized camera models | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2008 | |
local.identifier.absfor | 080106 - Image Processing | |
local.identifier.absfor | 080104 - Computer Vision | |
local.identifier.ariespublication | u4334215xPUB115 | |
local.type.status | Published Version | |
local.contributor.affiliation | Li, Hongdong, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Hartley, Richard, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Kim, Jae-Hak, College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 8 | |
local.identifier.doi | 10.1109/CVPR.2008.4587545 | |
dc.date.updated | 2015-12-08T09:34:39Z | |
local.identifier.scopusID | 2-s2.0-51949101239 | |
Collections | ANU Research Publications |
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