Underwater stereo-vision

stereo_calib

We developed the world’s leading close-range 3D stereo-vision system for gravel-bed studies. It allows instant capturing of Digital Elevation Models (DEMs), resolving over 30 million points/m2. Recently, another PhD student joined our team, and we are working on adding other features to our 3D stereo-vision system.

Publications:

Journals

  • Bertin, S., Friedrich, H., Delmas, P., Chan, E. and Gimel’farb, G. (accepted). DEM quality assessment with a 3D printed gravel bed in application to stereo photogrammetry. Photogrammetric Record. IF 1.440 (2012).
  • Bertin, S. and Friedrich, H. (2014). Measurement of gravel-bed topography: an evaluation study applying statistical roughness analysis. Journal of Hydraulic Engineering, 140(3), 269–279. IF 1.276 (2012).

Refereed Conference Proceedings

  • Bertin, S., Friedrich, H., Delmas, P. and Chan, E. (2014). DEM evaluation with a 3D printed gravel bed. paper submitted to River Flow2014, Lausanne, Switzerland.
  • Bertin, S., Friedrich, H., Delmas, P. and Chan, E. (2013). The Use of Close-Range Digital Stereo-Photogrammetry to Measure Gravel-Bed Topography in a Laboratory Environment. Proc. 35th IAHR Congress, Chengdu, China, September 8-13, 2013.
  • Bertin, S., Friedrich, H., Delmas, P. and Chan, E. (2012). The development and internal assessment of a high-resolution, nonproprietary, stereo-photogrammetric setup for hydraulic experiments. Proc. 27th International Conference Image and Vision Computing New Zealand, Dunedin, New Zealand, November 26 – 28, 2012.
  • Chan, E., Delmas, P., Nguyen, M., Gastelum, A., Yang, R., Liu, N., Gimel’Farb, G., Bertin, S. and Friedrich, H. (2012). On Location Experiments on River Bed Stereophotogrammetry.Proc. 27th International Conference Image and Vision Computing New Zealand, Dunedin, New Zealand, November 26 – 28, 2012.
  • Bertin, S., Friedrich, H., and Heays, K. (2011). Evaluating the use of stereo-photogrammetry for gravel-bed roughness analysis. Proc. 26th International Conference Image and Vision Computing New Zealand. Auckland, New Zealand, 29 November – 1 December, 41-47.

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