Synchronization and Self-Calibration for Helmet-Held Consumer Cameras, Applications to Immersive 3D Modeling and 360 Video

Abstract : This paper presents the first 3D reconstruction system using unsynchronized and helmet-held consumer cameras, without the use of a calibration pattern. Our assumptions are easy to meet in practice: the cameras have the same setting (frequency, image resolution, field-of-view, roughly equiangular). First, the time offsets between cameras are estimated without accurate calibration as input. Second, both inter-camera rotations and intrinsic parameters are refined using structure-from-motion and bundle adjustment. We experiment both synchronization and self-calibration on four GoPro cameras mounted on a helmet, such that the resulting multi-camera is assumed to be central and provides a 360 degree field-of-view in the horizontal plane. A surface is also estimated from a multi-camera video acquired by walking in a city.
Type de document :
Communication dans un congrès
International Conference on 3D Vision, Oct 2015, Lyon, France
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01635400
Contributeur : Maxime Lhuillier <>
Soumis le : mercredi 15 novembre 2017 - 10:30:26
Dernière modification le : mardi 9 octobre 2018 - 09:44:11
Document(s) archivé(s) le : vendredi 16 février 2018 - 13:53:46

Fichier

p3DV15.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01635400, version 1

Citation

Maxime Lhuillier, Thanh-Tin Nguyen. Synchronization and Self-Calibration for Helmet-Held Consumer Cameras, Applications to Immersive 3D Modeling and 360 Video. International Conference on 3D Vision, Oct 2015, Lyon, France. 〈hal-01635400〉

Partager

Métriques

Consultations de la notice

68

Téléchargements de fichiers

44