Sphere mapping for feature extraction from 360° fish-eye captures - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2020

Sphere mapping for feature extraction from 360° fish-eye captures

Résumé

Equirectangular projection is commonly used to map 360°captures into planar representation, so that existent processing methods can be directly applied to such content. Such format introduces stitching distortions that could impact the efficiency of further processing such as camera pose estimation , 3D point localization and depth estimation. Indeed, even if some algorithms, mainly feature descriptors, tend to remap the projected images into a sphere, important radial distortions remain existent in the processed data. In this paper , we propose to adapt the spherical model to the geometry of the 360°fish-eye camera, and avoid the stitching process. We consider the angular coordinates of feature points on the sphere for evaluation. We assess the precision of different operations such as camera rotation angle estimation and 3D point depth calculation on spherical camera images. Experimental results show that the proposed fish-eye adapted sphere mapping allows more stability in angle estimation, as well as in 3D point localization, compared to the one on projected and stitched contents. Index Terms-Spherical image, fish-eye camera, 360°, omnidirectional capture, feature extraction.
Fichier principal
Vignette du fichier
main.pdf (4.47 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02924520 , version 1 (28-08-2020)

Identifiants

  • HAL Id : hal-02924520 , version 1

Citer

Fatma Hawary, Thomas Maugey, Christine Guillemot. Sphere mapping for feature extraction from 360° fish-eye captures. MMSP 2020 - 22 nd IEEE International Workshop on Multimedia Signal Processing, Sep 2020, Tempere, Finland. pp.1-6. ⟨hal-02924520⟩
166 Consultations
990 Téléchargements

Partager

More