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Analysis of pixel-mapping rounding on geometric distortion as a prediction for view synthesis distortion

conference contribution
posted on 2016-10-11, 11:19 authored by Pablo Carballeira, Julian Cabrera, Erhan EkmekciogluErhan Ekmekcioglu, Fernando Jaureguizar, Narciso N. Garcia
We analyze the performance of the geometric distortion, incurred when coding depth maps in 3D Video, as an estimator of the distortion of synthesized views. Our analysis is motivated by the need of reducing the computational complexity required for the computation of synthesis distortion in 3D video encoders. We propose several geometric distortion models that capture (i) the geometric distortion caused by the depth coding error, and (ii) the pixel-mapping precision in view synthesis. Our analysis starts with the evaluation of the correlation of geometric distortion values obtained with these models and the actual distortion on synthesized views. Then, the different geometric distortion models are employed in the rate-distortion optimization cycle of depth map coding, in order to assess the results obtained by the correlation analysis. Results show that one of the geometric distortion models is performing consistently better than the other models in all tests. Therefore, it can be used as a reasonable estimator of the synthesis distortion in low complexity depth encoders.


This work has been partially supported by the Ministerio de Economia y Competitividad of the Spanish Government under project TEC2010-20412 (Enhanced 3DTV). Also, P. Carballeira wishes to thank the Comunidad de Madrid for a personal research grant.



  • Loughborough University London

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3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON), 2012


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CARBALLEIRA, P. ... et al., 2012. Analysis of pixel-mapping rounding on geometric distortion as a prediction for view synthesis distortion. IN: Proceedings of 2012 IEEE 3DTV Conference (3DTV-CON 2012), Zurich, Switzerland, 15-17 October 2012, DOI: 10.1109/3DTV.2012.6365446.




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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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