Home | << 1 >> |
Record | |||||
---|---|---|---|---|---|
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. |
||||
Address | Las Palmas de Gran Canaria; November 2018 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | SITIS | ||
Notes | MSIAU; 600.086; 600.130; 600.122 | Approved | no | ||
Call Number | Admin @ si @ CVS2018 | Serial | 3194 | ||
Permanent link to this record |