Towards automatic indoor reconstruction of cluttered building rooms from point clouds

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Volumn 2, Issue 5, 2014, Pages 281-288

  Previtali, M ^a   Barazzetti, L ^a   Brumana, R ^a   Scaioni, M ^b  

^a POLITECNICO DI MILANO   (Italy)

^b TONGJI UNIVERSITY   (China)

Author keywords

Indoor Reconstruction; Laser scanning; Point cloud; Segmentation

Indexed keywords

EID: 85026350004     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprsannals-II-5-281-2014     Document Type: Conference Paper

References (38)

1. Adan A. and Huber D., 2011, 3D reconstruction of interior wall surfaces under occlusion and clutter. In 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2011 International Conference on (pp. 275-281). IEEE.
2. Azhar, S., 2011, Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering 11, no. 3 (2011): 241-252.
3. Becker S., 2009, Generation and application of rules for quality dependent façade reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing 64 (6), 640 - 653.
4. Biswas J. and Veloso M., 2011, Depth camera based localization and navigation for indoor mobile robots. Robotics and Automation (ICRA), 2012 IEEE, International Conference, pp. 1697-1702.
5. Boykov Y. and Kolmogorov V., 2004, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(9), 1124-1137.
6. Budroni A. and Böhm J., 2009, Toward automatic reconstruction of interiors from laser data. Proceedings of Virtual Reconstruction and Visualization of Complex Architectures (3D-Arch).
7. Cantzler H., 2003, Improving Architectural 3D Reconstruction by Constrained Modelling, College of Science and Engineering. School of Informatics, University of Edinburgh, PhD Edinburgh.
8. Chauve A. L., Labatut P., Pons J. P., 2010, Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data. In: Proc. Conf. on Computer Vision and Pattern Recognition (CVPR10), pp. 1261-1268.
9. Díaz-Vilariño, L., Martínez-Sánchez, J., Lagüela, S., Armesto, J. and K. Khoshelham, 2014. Door recognition in cluttered building interiors using imagery and LiDAR data. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 29, 7 pages.
10. Edelsbrunner H., O'Rourke J., Seidel R., 1986, Constructing arrangements of lines and hyperplanes with applications. SIAM Journal on Computing, 15(2), 341-363.
11. El-Hakim S. F., Boulanger P., Blais F., Beraldin J. A., 1997, July. System for indoor 3D mapping and virtual environments. In Optical Science, Engineering and Instrumentation'97 (pp. 21-35). International Society for Optics and Photonics.
12. Förstner W., 2010, Optimal vanishing point detection and rotation estimation of single images from a legoland scene. In Int. Archives Photogrammetry, Remote Sens. Spatial Inf. Sci, 38, (Part 3A), pp. 157-162. 2010.
13. Furukawa Y., Curless B., Seitz S. M., Szeliski R. 2009, Reconstructing building interiors from images. In Computer Vision, 2009 IEEE 12th International Conference on (pp. 80-87). IEEE.
14. Gröger G. and Plümer L., 2012, CityGML-Interoperable semantic 3D city models, ISPRS Journal of Photogrammetry and Remote Sensing, 71, 12-33.
15. Haala N. and Kada, M., 2010, An update on automatic 3D building reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing, 65(6), 570-580.
16. Hähnel D., Burgard W., Thrun S., 2003, Learning compact 3D models of indoor and outdoor environments with a mobile robot. Robotics and Autonomous Systems, 44(1), 15-27.
17. Hebel M., Arens M., Stilla U., 2013, Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data. ISPRS Journal of Photogrammetry and Remote Sensing, 86, 52-64.
18. Kang Z., Zhang L., Yue H., Lindenbergh R., 2013, Range Image Techniques for Fast Detection and Quantification of Changes in Repeatedly Scanned Buildings. Photogrammetric Engineering and Remote Sensing, 79(8), 695-707.
19. Koppula H. S., Anand A., Joachims T., Saxena A., 2011, Semantic labeling of 3d point clouds for indoor scenes. In Advances in Neural Information Processing Systems (pp. 244-252).
20. Koutsourakis P., Simon L., Teboul O., Tziritas G., Paragios N., 2009, Single view reconstruction using shape grammars for urban environments. In Computer Vision, 2009 IEEE 12th International Conference on (pp. 1795-1802). IEEE.
21. Nex F. and Rinaudo F., 2009, New integration approach of Photogrammetric and LIDAR techniques for architectural surveys. Int. Archives Photogrammetry, Remote Sens. Spatial Inf. Sci, 38, 3
22. Nüchter A. and Hertzberg J., 2008, Towards semantic maps for mobile robots. Robotics and Autonomous Systems, 56(11), 915-926.
23. Okorn B., Xiong X., Akinci B., Huber D., 2010, Toward automated modeling of floor plans. In Proceedings of the Symposium on 3D Data Processing, Visualization and Transmission (Vol. 2).
24. Previtali M., Barazzetti L., Brumana R., Cuca B., Oreni D., Roncoroni F., and Scaioni M., 2013a, Automatic façade segmentation for thermal retrofit. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 29, 197-204.
25. Previtali, M., Scaioni, M., Barazzetti, L., Brumana, R., and Roncoroni, F., 2013b, Automated detection of repeated structures in building facades. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., 2, 241-246.
26. Previtali M., Barazzetti L., Brumana R., and M. Scaioni, 2014. Laser Scan Registration Using Planar Features. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 29, 8 pages.
27. Pu S. and Vosselman G., 2009, Knowledge based reconstruction of building models from terrestrial laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing, 64(6), 575-584.
28. Pu S., Rutzinger M., Vosselman G., Oude Elberink, S., 2011, Recognizing basic structures from mobile laser scanning data for road inventory studies. ISPRS Journal of Photogrammetry and Remote Sensing, 66(6), S28-S39.
29. Rabbani T., Dijkman S., van den Heuvel F., Vosselman G., 2007, An integrated approach for modelling and global registration of point clouds.ISPRS journal of Photogrammetry and Remote Sensing, 61(6), 355-370.
30. Ripperda N. and Brenner C., 2009. Application of a Formal Grammar to Façade Reconstruction in Semiautomatic and Automatic Environments. In 12th AGILE International Conference on Geographic Information Science.
31. Reif J. H., 1983, Minimum s-t Cut of a Planar Undirected Network in O(n log 2(n)) Time. SIAM Journal on Computing, 12(1), 71-81.
32. Remondino, F., 2011, Heritage recording and 3D modeling with photogrammetry and 3D scanning. Remote Sensing, 3(6), 1104-1138.
33. Rusu R. B., Marton Z. C., Blodow N., Dolha M., Beetz M., 2008, Towards 3D point cloud based object maps for household environments. Robotics and Autonomous Systems, 56(11), 927-941.
34. Samet, H., 2006, Foundations of multidimensional and metric data structures. Morgan Kaufmann.
35. Shafer, G., 1976, A mathematical theory of evidence. Tech. Rep., Princeton University.
36. Thrun S., Martin C., Liu Y., Hahnel D., Emery-Montemerlo R., Chakrabarti D., Burgard W., 2004, A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots. Robotics and Automation, IEEE Transactions on, 20(3), 433-443
37. Zeibak R. and Filin S., 2007, Change detection via terrestrial laser scanning. International Archives of Photogrammetry and Remote Sensing, 36(3/W52), 430-435.
38. Zhang Z., 2012, Microsoft kinect sensor and its effect. Multimedia, IEEE, 19(2), 4-10.