Detection of Geometric Temporal Changes in Point Clouds

Computer Graphics Forum (Presented at Eurographics 2016), Volume 35, Number 6, page 33--45 - 2016
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abstract



Detecting geometric changes between two 3D captures of the same location performed at different moments is a critical operation for all systems requiring a precise segmentation between change and no-change regions. Such application scenarios include 3D surface reconstruction, environment monitoring, natural events management and forensic science. Unfortunately, typical 3D scanning setups cannot provide any one-to-one mapping between measured samples in static regions: in particular, both extrinsic and intrinsic sensor parameters may vary over time while sensor noise and outliers additionally corrupt the data. In this paper, we adopt a multi-scale approach to robustly tackle these issues. Starting from two point clouds, we first remove outliers using a probabilistic operator. Then, we detect the actual change using the implicit surface defined by the point clouds under a Growing Least Square reconstruction that, compared to the classical proximity measure, offers a more robust change/no-change characterization near the temporal intersection of the scans and in the areas exhibiting different sampling density and direction. The resulting classification is enhanced with a spatial reasoning step to solve critical geometric configurations that are common in man-made environments. We validate our approach on a synthetic test case and on a collection of real data sets acquired using commodity hardware. Finally, we show how 3D reconstruction benefits from the resulting precise change/no-change segmentation.

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BibTex references

@Article\{PCBS16,
  author       = "Palma, Gianpaolo and Cignoni, Paolo and Boubekeur, Tamy and Scopigno, Roberto",
  title        = "Detection of Geometric Temporal Changes in Point Clouds",
  journal      = "Computer Graphics Forum (Presented at Eurographics 2016)",
  number       = "6",
  volume       = "35",
  pages        = "33--45",
  year         = "2016",
  url          = "http://vcg.isti.cnr.it/Publications/2016/PCBS16"
}

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» Gianpaolo Palma
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