Abstract
In several applications like Telepresence, multi-view video has to be source coded and transmitted to a location where stereo matching is performed. The effect of coding strategies on stereo matching techniques is, however, not thoroughly studied. In this paper, we present an analysis that demonstrates the impact of video source coding on the quality of stereo matching. We use MPEG-4 advanced simple profile to compress the transmitted video and examine the quantitative effect of lossy compression on several types of stereo algorithms. The results of the study are able to show us the relation between video coding compression parameters and the quality of the obtained disparity maps. These results can guide us to select suitable operating regions for both stereo matching and video compression. Thus, we are able to provide a better insight on how to trade between the compression parameters and the quality of dense matching to obtain an optimal performance.
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Zia, W., Sarkis, M., Diepold, K. (2009). Impact of Video Source Coding on the Performance of Stereo Matching. In: Ritter, H., Sagerer, G., Dillmann, R., Buss, M. (eds) Human Centered Robot Systems. Cognitive Systems Monographs, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10403-9_14
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DOI: https://doi.org/10.1007/978-3-642-10403-9_14
Publisher Name: Springer, Berlin, Heidelberg
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