Title: Efficient Medial Voxel Extraction for Large Volumetric Models
Authors: Michikawa, Takashi
Nakazaki, Shun
Suzuki, Hiromasa
Citation: WSCG '2009: Full Papers Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia Plzen, Czech Republic, February 2 - 5, 2009, p. 189-196.
Issue Date: 2009
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2009/Papers_2009/!_WSCG2009_Full_final.zip
ISBN: 978-80-86943-93-0
Keywords: mediální povrchy;mediální voxely;out-of-core algoritmus;volumetrické modely
Keywords in different language: medial surfaces;medial voxels;out-of-core algorithm;volumetric models
Abstract: Here we propose a method for medial voxel extraction from large volumetric models based on an out-of-core framework. The method improves upon geodesic-based approaches to enable the handling of large objects. First, distance fields are constructed from input volumes using an out-of-core algorithm. Second, medial voxels are extracted from these distance fields through multi-phase evaluation processes. Trivial medial or non-medial voxels are evaluated by the low-cost pseudo-geodesic distance method first, and the more expensive geodesic distance computation is run last. Using this strategy allows most of the voxels to be extracted in the low-cost process. This paper outlines a number of results regarding the extraction of medial voxels from large volumetric models. Our method also works in parallel, and we demonstrate that computation time becomes even shorter in multi-core environments.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2009: Full Papers Proceedings

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