Abstract
This chapter provides a general framework for multi-view and 3D video content acquisition. The device architecture is described as well with the camera post-processing stage, taking into account of the multi-view aspects. In addition, a depth-map computing stage is described in order to provide a complete specification of the multi-view content acquisition and preparation module. For the depth map extraction, different levels of quality can be achieved depending on the processing time. For monitoring purposes, the priority is given to the fastness although the depth information supposed to be used for the rendering, at client side, requires more computing in order to optimize the quality of the reconstructed views. In addition, in the multi-view context, a refinement step aims at enhancing the quality of the depth maps and optimizing the video coding performances. Finally, experimental results are presented in order to validate the different approaches through quality measurements of depth-based view reconstruction.
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This work was supported by the ROMEO project (grant number: 287896), which was funded by the EC FP7 ICT collaborative research program.
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Tizon, N., Dosso, G., Ekmekcioglu, E. (2014). Multi-view Acquisition and Advanced Depth Map Processing Techniques. In: Kondoz, A., Dagiuklas, T. (eds) 3D Future Internet Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8373-1_4
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DOI: https://doi.org/10.1007/978-1-4614-8373-1_4
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