Structure from Motion using the Extended Kalman Filter
The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An in...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2012. |
| Col·lecció: | Springer Tracts in Advanced Robotics
75 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Structure from Motion using the Extended Kalman Filter, Texte imprimé, 9783642248337 • Structure from Motion using the Extended Kalman Filter, Texte imprimé, 9783642427862 • Structure from Motion using the Extended Kalman Filter, Texte imprimé, 9783642248351 • Structure from Motion using the Extended Kalman Filter, Texte imprimé, 9783642248337 |
Taula de continguts:
- Introduction Points at Infinity. Mosaics using the Extended Kalman Filter Inverse Depth Parametrization 1-Point RANSAC Degenerate Camera Motions and Model Selection Self-calibration Conclusions