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Graph-based representation for multiview images with complex camera configurations

Xin Su 1 Thomas Maugey 1 Christine Guillemot 1
1 Sirocco - Analysis representation, compression and communication of visual data
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique
Abstract : 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.
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https://hal.inria.fr/hal-01378422
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Submitted on : Thursday, October 13, 2016 - 2:51:52 PM
Last modification on : Friday, July 10, 2020 - 4:21:32 PM
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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⟩

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