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Optimal Representation of Multi-View Video

Volino, Marco, Casas, D, Collomosse, JP and Hilton, A Optimal Representation of Multi-View Video In: British Machine Vision Conference (BMVC), 2014-09-02 - 2014-09-05, Nottingham, UK.

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Multi-view video acquisition is widely used for reconstruction and free-viewpoint rendering of dynamic scenes by directly resampling from the captured images. This paper addresses the problem of optimally resampling and representing multi-view video to obtain a compact representation without loss of the view-dependent dynamic surface appearance. Spatio-temporal optimisation of the multi-view resampling is introduced to extract a coherent multi-layer texture map video. This resampling is combined with a surface-based optical flow alignment between views to correct for errors in geometric reconstruction and camera calibration which result in blurring and ghosting artefacts. The multi-view alignment and optimised resampling results in a compact representation with minimal loss of information allowing high-quality free-viewpoint rendering. Evaluation is performed on multi-view datasets for dynamic sequences of cloth, faces and people. The representation achieves >90% compression without significant loss of visual quality.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Casas, D
Additional Information : Copyright 2014 The Authors
Depositing User : Symplectic Elements
Date Deposited : 09 Sep 2014 15:59
Last Modified : 09 Oct 2018 15:14

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