Analysis of pixel-mapping rounding on geometric distortion as a prediction for view synthesis distortion Pablo Carballeira Julian Cabrera Erhan Ekmekcioglu Fernando Jaureguizar Narciso N. Garcia 2134/22777 https://repository.lboro.ac.uk/articles/conference_contribution/Analysis_of_pixel-mapping_rounding_on_geometric_distortion_as_a_prediction_for_view_synthesis_distortion/9464864 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. 2016-10-11 11:19:30 3D video Depth-image based rendering Depth coding Rate-distortion optimization