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Author: Martin Kraus

Affiliation: Technische Universität München, Germany

Keyword(s): Pyramid algorithm, Image processing, Real-time rendering, Scattered data,Meshless data, Interpolation, GPU.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Point-Based Rendering ; Real-Time Rendering ; Rendering ; Rendering Algorithms

Abstract: The pull-push algorithm is a well-known and very efficient pyramid algorithm for the interpolation of scattered data with many applications in computer graphics. However, the original algorithm is not very well suited for an implementation on GPUs (graphics processing units). In this work, several improvements of the algorithm are presented to overcome this limitation, and important details of the algorithm are clarified, in particular the importance of the correct normalization of the employed filters. Moreover, we present an extension for a very efficient estimate of the local density of sample points.

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Paper citation in several formats:
Kraus, M. (2009). THE PULL-PUSH ALGORITHM REVISITED - Improvements, Computation of Point Densities, and GPU Implementation. In Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2009) - GRAPP; ISBN 978-989-8111-67-8; ISSN 2184-4321, SciTePress, pages 179-184. DOI: 10.5220/0001772601790184

@conference{grapp09,
author={Martin Kraus.},
title={THE PULL-PUSH ALGORITHM REVISITED - Improvements, Computation of Point Densities, and GPU Implementation},
booktitle={Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2009) - GRAPP},
year={2009},
pages={179-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001772601790184},
isbn={978-989-8111-67-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2009) - GRAPP
TI - THE PULL-PUSH ALGORITHM REVISITED - Improvements, Computation of Point Densities, and GPU Implementation
SN - 978-989-8111-67-8
IS - 2184-4321
AU - Kraus, M.
PY - 2009
SP - 179
EP - 184
DO - 10.5220/0001772601790184
PB - SciTePress