The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-3/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 613–617, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-613-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 613–617, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W3-613-2015

  20 Aug 2015

20 Aug 2015

3D OCTREE BASED WATERTIGHT MESH GENERATION FROM UBIQUITOUS DATA

L. Caraffa, M. Brédif, and B. Vallet L. Caraffa et al.
  • Universit´e Paris-Est, IGN/SR, MATIS, 73 avenue de Paris, 94160 Saint Mandé, France

Keywords: Surface reconstruction, Octree, Graph-cut, Lidar

Abstract. Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain an interesting solution for a first step surface reconstruction. In this paper, we propose a generic framework for a octree cell based mesh generation. Its input is a set of Lidar-based 3D measurements or other inputs which are formulated as a set of mass functions that characterize the level of confidence on the occupancy of each octree’s leaf. The output is a binary segmentation of the space between occupied and empty areas by taking into account the uncertainty of data. To this end, the problem is then reduced to a global energy optimization framework efficiently optimized with a min-cut approach. We use the approach for producing a large scale surface reconstruction algorithm by merging data from ubiquitous sources like airborne, terrestrial Lidar data, occupancy map and extra cues. Once the surface is computed, a solution is proposed for texturing the mesh.