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Published in

Copernicus Publications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (XLI-B4), p. 283-288, 2016

DOI: 10.5194/isprs-archives-xli-b4-283-2016

Copernicus Publications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (XLI-B4), p. 283-288

DOI: 10.5194/isprsarchives-xli-b4-283-2016

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Rasterization and Voxelization of Two- And Three-Dimensional Space Partitionings

Journal article published in 2016 by Ben Gorte, Sisi Zlatanova ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Preprint: archiving allowed
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Postprint: archiving allowed
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Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Abstract. The paper presents a very straightforward and effective algorithm to convert a space partitioning, made up of polyhedral objects, into a 3D block of voxels, which is fully occupied, i.e. in which every voxel has a value. In addition to walls, floors, etc. there are 'air' voxels, which in turn may be distinguished as indoor and outdoor air. The method is a 3D extension of a 2D polygon-to-raster conversion algorithm. The input of the algorithm is a set of non-overlapping, closed polyhedra, which can be nested or touching. The air volume is not necessarily represented explicitly as a polyhedron (it can be treated as 'background', leading to the 'default' voxel value). The approach consists of two stages, the first being object (boundary) based, the second scan-line based. In addition to planar faces, other primitives, such as ellipsoids, can be accommodated in the first stage without affecting the second.