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Multi-view coding for image-based rendering using 3-D scene geometry

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3 Author(s)
Magnor, M. ; Max-Planck-Inst. fur Informatik, Saarbrucken, Germany ; Prashant Ramanathan ; Girod, B.

To store and transmit the large amount of image data necessary for Image-based Rendering (IBR), efficient coding schemes are required. This paper presents two different approaches which exploit three-dimensional scene geometry for multi-view compression. In texture-based coding, images are converted to view-dependent texture maps for compression. In model-aided predictive coding, scene geometry is used for disparity compensation and occlusion detection between images. While both coding strategies are able to attain compression ratios exceeding 2000:1, individual coding performance is found to depend on the accuracy of the available geometry model. Experiments with real-world as well as synthetic image sets show that texture-based coding is more sensitive to geometry inaccuracies than predictive coding. A rate-distortion theoretical analysis of both schemes supports these findings. For reconstructed approximate geometry models, model-aided predictive coding performs best, while texture-based coding yields superior coding results if scene geometry is exactly known.

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Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:13 ,  Issue: 11 )