REAL-TIME ADAPTIVE POINT SPLATTING FOR NOISY POINT CLOUDS

Rosen Diankov, Ruzena Bajcsy

Abstract

Regular point splatting methods have a lot of problems when used on noisy data from stereo algorithms. Just a few unfiltered outliers, depth discontinuities, and holes can destroy the whole rendered image. We present a new multi-pass splatting method on GPU hardware called Adaptive Point Splatting (APS) to render noisy point clouds. By taking advantage of image processing algorithms on the GPU, APS dynamically fills holes and reduces depth discontinuities without loss of image sharpness. Since APS does not require any preprocessing on the CPU and does all its work on the GPU, it works in real-time with linear complexity in the number of points in the scene. We show experimental results on Teleimmersion stereo data produced by approximately forty cameras.

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Paper Citation


in Harvard Style

Diankov R. and Bajcsy R. (2007). REAL-TIME ADAPTIVE POINT SPLATTING FOR NOISY POINT CLOUDS . In Proceedings of the Second International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-972-8865-71-9, pages 228-234. DOI: 10.5220/0002078602280234


in Bibtex Style

@conference{grapp07,
author={Rosen Diankov and Ruzena Bajcsy},
title={REAL-TIME ADAPTIVE POINT SPLATTING FOR NOISY POINT CLOUDS},
booktitle={Proceedings of the Second International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2007},
pages={228-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002078602280234},
isbn={978-972-8865-71-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - REAL-TIME ADAPTIVE POINT SPLATTING FOR NOISY POINT CLOUDS
SN - 978-972-8865-71-9
AU - Diankov R.
AU - Bajcsy R.
PY - 2007
SP - 228
EP - 234
DO - 10.5220/0002078602280234