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| Author | Jorge Charco; Boris X. Vintimilla; Angel Sappa | ||||
| Title | Deep learning based camera pose estimation in multi-view environment | Type | Conference Article | ||
| Year | 2018 | Publication | 14th IEEE International Conference on Signal Image Technology & Internet Based System | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Deep learning; Camera pose estimation; Multiview environment; Siamese architecture | ||||
| Abstract | This paper proposes to use a deep learning network architecture for relative camera pose estimation on a multi-view environment. The proposed network is a variant architecture of AlexNet to use as regressor for prediction the relative translation and rotation as output. The proposed approach is trained from
scratch on a large data set that takes as input a pair of imagesfrom the same scene. This new architecture is compared with a previous approach using standard metrics, obtaining better results on the relative camera pose. |
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| Address | Las Palmas de Gran Canaria; November 2018 | ||||
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| Area | Expedition | Conference | SITIS | ||
| Notes | MSIAU; 600.086; 600.130; 600.122 | Approved | no | ||
| Call Number | Admin @ si @ CVS2018 | Serial | 3194 | ||
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