Mention de date : 2019
Paru le : 01/02/2019 |
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Ajouter le résultat dans votre panierThe orthographic projection model for pose calibration of long focal images / Laura F. Julià in IPOL Journal, Image Processing On Line, vol 9 (2019)
[article]
Titre : The orthographic projection model for pose calibration of long focal images Type de document : Article/Communication Auteurs : Laura F. Julià, Auteur ; Pascal Monasse, Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : pp 232 - 250 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] estimation de pose
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] longueur focale
[Termes IGN] Matlab
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] projection orthographique
[Termes IGN] structure-from-motionRésumé : (auteur) Most stereovision and Structure from Motion (SfM) methods rely on the pinhole camera model based on perspective projection. From this hypothesis the fundamental matrix and the epipolar constraints are derived, which are the milestones of pose estimation. In this article we present a method based on the matrix factorization due to Tomasi and Kanade that relies on a simpler camera model, resulting in orthographic projection. This method can be used for the pose estimation of perspective cameras in configurations where other methods fail, in particular, when using cameras with long focal length lenses. We show this projection is an approximation of the pinhole camera model when the camera is far away from the scene. The performance of our implementation of this pose estimation method is compared to that given by the perspective-based methods for several configurations using both synthetic and real data. We show through some examples and experiments that the accuracy achieved and the robustness of this method make it worth considering in any SfM procedure. Numéro de notice : A2019-643 Affiliation des auteurs : LASTIG LOEMI (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5201/ipol.2019.248 Date de publication en ligne : 05/09/2019 En ligne : https://doi.org/10.5201/ipol.2019.248 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96175
in IPOL Journal, Image Processing On Line > vol 9 (2019) . - pp 232 - 250[article]