Graph-based representation for multiview images with complex camera configurations - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2016

Graph-based representation for multiview images with complex camera configurations

Résumé

Graph-Based Representation (GBR) has recently been proposed for rectified multiview dataset. The core idea of G-BR is to use graphs for describing the color and geometry information of a multiview dataset. The color information is represented by the vertices of the graph while the scene geometry is represented by the edges of the graph. In this paper , we generalize the GBR to multi-view images with complex camera configurations. Compared with previous work, the GBR representation introduced in this paper can handle not only horizontal displacements of the cameras but also forward/backward displacements, rotations etc. In order to have a sparse (i.e., easy to code) graph structure, we further propose to use a distortion metric to select the most meaningful connections. For the graph transmission, each selected connection is then replaced by a disparity-based quantity. The experiments show that the proposed GBR achieves high reconstructing quality with less or comparable coding rate compared with traditional depth-based representations, that directly compress the depth signal without considering the rendering task.
Fichier principal
Vignette du fichier
Template.pdf (3.6 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01378422 , version 1 (13-10-2016)

Identifiants

Citer

Xin Su, Thomas Maugey, Christine Guillemot. Graph-based representation for multiview images with complex camera configurations. ICIP 2016 - IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.1554 - 1558, ⟨10.1109/ICIP.2016.7532619⟩. ⟨hal-01378422⟩
255 Consultations
179 Téléchargements

Altmetric

Partager

More