Recovering 3D indoor floorplans by exploiting low-cost 360 photography

Giovanni Pintore, Fabio Ganovelli, Ruggero Pintus, Roberto Scopigno, Enrico Gobbetti
Proceedings of PG 2018 Pacific Graphics (short paper( - 2018
Download the publication : pg2018s-indoorplan.pdf [3.3Mo]  


We present a novel approach to automatically recover, from a small set of partially overlapping panoramic images, an indoor structure representation in terms of a 3D floor plan registered with a set of 3D environment maps. We introduce several improvements over previous approaches, mostly based on color/spatial reasoning on a single image per-room and heavy \emph{Manhattan World} priors. In particular, we introduce a new method for geometric context extraction based on a 3D facets representation, which combines color distribution analysis of individual images with sparse multi-view clues. Moreover, we introduce an efficient method to combine the facets from different point-of-view in the same world space, considering the reliability of the facets contribution. The resulting capture and reconstruction pipeline automatically generates 3D multi-room environments where most of the other previous approaches fail, such as in presence of hidden corners and large clutter, even without involving additional dense 3D data or tools. We demonstrate the effectiveness and performance of our approach on different real-world indoor scenes. Our test data is released to allow for further studies and comparisons.

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BibTex references

  author       = "Pintore, Giovanni and Ganovelli, Fabio and Pintus, Ruggero and Scopigno, Roberto and Gobbetti, Enrico",
  title        = "Recovering 3D indoor floorplans by exploiting low-cost 360 photography",
  booktitle    = "Proceedings of PG 2018 Pacific Graphics (short paper(",
  year         = "2018",
  url          = ""

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» Giovanni Pintore
» Fabio Ganovelli
» Ruggero Pintus
» Roberto Scopigno
» Enrico Gobbetti