کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
442424 | 692242 | 2011 | 14 صفحه PDF | دانلود رایگان |
This paper introduces a skeletal representation, called Point Cloud Graph, that generalizes the definition of the Reeb graph to arbitrary point clouds sampled from m-dimensional manifolds embedded in the d-dimensional space. The proposed algorithm is easy to implement and the graph representation yields to an effective abstraction of the data. Finally, we present experimental results on point-sampled surfaces and volumetric data that show the robustness of the Point Cloud Graph to non-uniform point distributions and its usefulness for shape comparison.
► Extension of the Reeb graph to point clouds representing m-manifolds embedded in Rd.
► general framework wrt the quality of data such as noise, occlusions, multiple components.
► suitability of the descriptor for shape comparison of point clouds.
► improvement of the computational cost with respect to the previous work.
Journal: Graphical Models - Volume 73, Issue 5, September 2011, Pages 151–164