Skip to main content

Real-Time Reconstruction of Heightmaps from Images Taken with an UAV

  • Conference paper
  • First Online:
Robotics and Mechatronics

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 37))

  • 1667 Accesses

Abstract

In this paper, an approach for a real-time three dimensional reconstruction of a dense point cloud, from images obtained with an unmanned aerial vehicle, is presented. The approach also estimates the model scale, using a known marker as reference, obtaining a fairly precise heightmap of the environment. The proposed image analysis framework is also capable of an off-line 3D reconstruction from monocular images, without known markers in the environment. The proposed framework is an adaptation of the Patch-based Multiview Stereo (PMVS) algorithm, in order to obtain a faster point cloud generation, suitable for real-time environment reconstruction. For the obtained heightmap, the error estimation ranges between 1–1.5 % for manual detection of marker and 4–5 % for automatic marker detection, which we consider is accurate enough for autonomous navigation and path planning.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Barazzetti, L., Scaioni, M.: Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation. Photogram. Rec. 25, 2010 (2013)

    Google Scholar 

  2. Besnerais, G., Sanfourche, M., Champagnat, F.: Dense height map estimation from oblique aerial image sequences. Comput. Vis. Image Underst. 109, 204–225 (2008)

    Google Scholar 

  3. Call, B.: Obstacle avoidance for unmanned air vehicles. Master’s thesis, Brigham Young University (2006)

    Google Scholar 

  4. Cetinsoy, E., Dikyar, S., Hancer, C., Oner, K., Sirimoglu, E., Unel, M., Aksit, M.: Design and construction of a novel quad tilt-wing UAV. Mechatronics 22, 723–745 (2012)

    Google Scholar 

  5. Chen, H., Bhanu, B.: 3D free-form object recognition in range images using local surface patches. Pattern Recogn. Lett. 28, 1252–1262 (2007)

    Article  Google Scholar 

  6. Diskin, Y., Asari., V.: Dense point-cloud creation using superresolution for a monocular 3D reconstruction system. In: Proceedings of SPIE 8399, Visual Information Processing XXI, pp. 83,990–N–83,990N–9 (2012)

    Google Scholar 

  7. Furukawa, Y., Ponce, J.: Accurate, dense, and robust multi-view stereopsis. Pattern Anal. Mach. Intell. 32(8), 1362–1376 (2010)

    Article  Google Scholar 

  8. Garrido-Jurado, S., Muoz-Salinas, R., Madrid-Cuevas, F., Marn-Jimnez, M.: Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recogn. 47(6), 2280–2292 (2014)

    Google Scholar 

  9. Gertler, J.: US unmanned aerial systems. Congressional Research Service (2012)

    Google Scholar 

  10. Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the 4th Alvey Vision Conference, pp. 147–151 (1988)

    Google Scholar 

  11. Hough, P.: Method and means for recognizing complex patterns (1962)

    Google Scholar 

  12. Khoshelham, K.: Extending generalized hough transform to detect 3D objects in laser range data. In: Proceedings of ISPRS Workshop on Laser Scanning, pp. 206–210 (2007)

    Google Scholar 

  13. Lowe, D.: Distinctive image features from scale-invariant key points. Int. J. Comput. Vis. 60(2), 91–110 (2004)

    Article  Google Scholar 

  14. Marr, D., Hildreth, E.: Theory of edge detection. In: Proceedings of the Royal Society of London, pp. 215–217 (1980)

    Google Scholar 

  15. Mian, A., Bennamoun, M., Owens, R.: On the repeatability and quality of keypoints for local feature-based 3D object retrieval from cluttered scenes. Int. J. Comput. Vis. 89, 348–361 (2010)

    Article  Google Scholar 

  16. Motta, C.: Reconstruccin tridimensional de fachadas de edificios empleando imgenes monoculares obtenidas por un vehculo areo no tripulado autnomo. Master’s thesis, Centro de Investigacin y de Estudios Avanzados del Instituto Politcnico Nacional (2014)

    Google Scholar 

  17. Moulon, P., Monasse, P., Marlet, R.: Adaptive structure from motion with a contrario model estimation. In: ACCV 2012, vol. 7727, pp. 257–270 (2012)

    Google Scholar 

  18. Petrelli, A., Stefano, L.D.: On the repeatability of the local reference frame for partial shape matching. In: 13th International Conference on Computer Vision (ICCV), pp. 2244–2251 (2011)

    Google Scholar 

  19. Pollefeys, M., Nistér, D., et al.: Detailed real-time urban 3D reconstruction from video. Int. J. Comput. Vis. 78, 143–167 (2008)

    Article  Google Scholar 

  20. Sanfourche, M., Delaune, J., Besnerais, G.L.: Perception for UAV: vision-based navigation and environment modeling. J. AerospaceLab 4, 1–19 (2012)

    Google Scholar 

  21. Scaramuzza, D., Fraundorfer, F., Pollefeys, M., Siegwart, R.: Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 1413–1419 (2009)

    Google Scholar 

  22. Sirmacek, B., d’Angelo, P., Krauss, T., Reinartz, P.: Enhancing urban digital elevation models using automated computer vision techniques. In: International Conference on Pattern Recognition (2010)

    Google Scholar 

  23. Tombari, F., Salti, S., DiStefano, L.: Unique signatures of histograms for local surface description. In: ECCV’10 Proceedings of the 11th European Conference on Computer Vision Conference on Computer Vision, pp. 356–369 (2010)

    Google Scholar 

  24. Tombari, F., Stefano, L.D.: Object recognition in 3D scenes with occlusions and clutter by hough voting. In: 4th Pacific-Rim Symposium on Image and Video Technology, pp. 349–355 (2010)

    Google Scholar 

  25. Weibel, R., Heller, M.: Digital terrain modelling (1993)

    Google Scholar 

  26. Weiss, S., Achtelik, M., Kneip, L., Scaramuzza, D., Siegwart, R.: Intuitive 3D maps for MAV terrain exploration and obstacle avoidance. J. Intell. Robot. Syst. 61(1–4), 473–493 (2011). Doi:10.1007/s10846-010-9491-y, http://dx.doi.org/10.1007/s10846-010-9491-y

    Google Scholar 

  27. Wen-Chung, C., Shu-An, L.: Real-time feature-based 3D map reconstruction for stereo visual guidance and control of mobile robots in indoor environments. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, vol. 6, pp. 5386–5391 (2008)

    Google Scholar 

  28. Zhong, Y.: Intrinsic shape signatures: a shape descriptor for 3D object recognition. In: Proceedings of 3DRR Workshop (in conj. with ICCV), pp. 689–696 (2009)

    Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge the support of scholarship fund of CONACyT during A. Larranaga’s M.S. degree, and the support of the Cinvestav-LTI for the facilities to perform this work. We would also like to acknowledge the authors of the following libraries: OpenMVG, OpenCV, PMVS2 and Point Cloud Library.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jose Gabriel Ramirez-Torres .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Ramirez-Torres, J.G., Larranaga-Cepeda, A. (2016). Real-Time Reconstruction of Heightmaps from Images Taken with an UAV. In: Zeghloul, S., Laribi, M., Gazeau, JP. (eds) Robotics and Mechatronics. Mechanisms and Machine Science, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-22368-1_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22368-1_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22367-4

  • Online ISBN: 978-3-319-22368-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics