The Ball-Pivoting Algorithm for Surface Reconstruction
IEEE Transactions on Visualization and Computer Graphics
Shape-Adaptive 3-D Mesh Simplification Based on Local Optimality Measurement
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Computing the 3D Voronoi Diagram Robustly: An Easy Explanation
ISVD '07 Proceedings of the 4th International Symposium on Voronoi Diagrams in Science and Engineering
ISVD '07 Proceedings of the 4th International Symposium on Voronoi Diagrams in Science and Engineering
Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
Surface Simplification Using multi-edge mesh collapse
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Perceptually Guided Polygon Reduction
IEEE Transactions on Visualization and Computer Graphics
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In this paper, a process for a simplified reconstruction of rough terrains from point clouds acquired using laser scanners is presented. The main idea of this work is to build height-maps which are level gray-scale images representing the ground elevation. These height-maps are generated from step-fields which can be represented by a set of side-by-side pillars. Although height-maps are a practical means for rough terrain reconstruction, it is not possible to represent two different elevations for a given location with one height-map. This is an important drawback as terrain point clouds can show different zones representing surfaces above other surfaces. In this paper, a methodology to create several height-maps for the same terrain is described. Experimental results are shown using the high-fidelity physics-based framework for the Unified System for Automation and Robot Simulation (USARSim).