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The Ngongotaha river UDPS experiment: low-cost underwater dynamic stereo photogrammetry

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IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand

Pages 412 - 417

https://doi.org/10.1145/2425836.2425915

Published: 26 November 2012 Publication History

Abstract

We propose to integrate the newest developments in stereomatching theory, affordable parallel processing capabilities (using GPU e.g. PC gaming/graphic card) and statistical surface analysis to implement and test an in-situ Underwater Dynamic Stereo Photogrammetry (UDSP) system for civil engineering applications. The proposed UDPS system aims to provide underwater Digital Elevation Models (DEM), for applications such as a two-dimensional discrete matrix of data underwater elevations. Experiments on river bed stereophotogrammetry in the Ngongotaha Stream near Rotorua using consumer grade stereo cameras including Go-Pro and Fujifilm W3 are used in through-water and underwater calibration and stereo measurements of 32 pebbles on the river bed. Pebbles are measured and identified. Initial results highlight the need for specialised equipment for through-water and underwater photogrammetry experiments to limit blurring effects caused by the water-plastic-air interfaces. Despite poor optical quality of the images obtained, we were able to correlate pebble sizes from calibrated stereo depth maps and actual measurement.

References

[1]

R. Basri, D. Jacobs, and I. Kemelmacher. Photometric stereo with general, unknown lighting. International Journal of Computer Vision, 72(3): 239--257, 2007.

Digital Library

[2]

J. Butler, S. Lane, J. Chandler, and E. Porfiri. Through-water close range digital photogrammetry in flume and field environments. Photogrammetric Record, 17(99), 419--439., 17(99): 419--439, 2002.

[3]

P. Chapman, K. Bale, and P. Drap. We all live in a virtual submarine. IEEE Computer Graphics and Applications, 68(7): 745--751, 2010.

Digital Library

[4]

A. Chong and P. Stratford. Underwater digital stereo-observation technique for red hydrocoral study. Photogrammetric Engineering and Remote Sensing, 68(7): 745--751, 2002.

[5]

P. Delmas, G. Gimel'farb, A. Shorin, and J. Morris. Robust least-squares image matching in the presence of outliers. In Proc. 12th Int. Conf. Computer Analysis of Images and Patterns (CAIP 2007) - Lecture Notes in Computer Science, pages 776--783. IAPR, August 2007.

Digital Library

[6]

A. Fusiello, E. Trucco, and A. Verri. A compact algorithm for rectification of stereo pairs. Machine Vision and Applications, 12(1): 16--22, 2000.

Digital Library

[7]

G. Gimel'farb. Probabilistic regularisation and symmetry in binocular dynamic programming stereo. Pattern Recognition Letters, 23(4): 431--442, 2002.

Digital Library

[8]

R. Gong. Belief propagation based stereo matching with due account of visibility conditions, 2011.

[9]

M. Kampel, C. Liska, and S. Tosovic. Adaptive 3d reconstruction of archaeological pottery. In Proc. 3DIM01 Conf., pages 42--51, 2001.

[10]

K. Katija and J. Dabiri. In situ field measurements of aquatic animal-fluid interactions using a self-contained underwater velocimetry apparatus (scuva). Limnology and Oceanography: Methods, 6(APR): 162--171, 2008.

[11]

pcmag.com. Google unveils underwater street view for maps. online, September 2012.

[12]

M. Shortis, E. Harvey, and D. Abdo. A review of underwater stereo-image measurement for marine biology and ecology applications. Oceanography and Marine Biology, 2009.

[13]

C. S. Survey. A game-changing scientific study of coral reefs. online, September 2012.

[14]

S. Windsor, S. Norris, S. Cameron, G. Mallinson, and J. Montgomery. The flow fields involved in hydrodynamic imaging by blind mexican cave fish (astyanax fasciatus). part i: Open water and heading towards a wall. Journal of Experimental Biology, 213: 3819--3831, 2010.

[15]

Z. Zhang. Flexible camera calibration by viewing a plane from unknown orientations. In Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, volume 1, pages 666--673 vol. 1, 1999.

Cited By

Li WGee TDelmas PFriedrich H(2016)Evaluating using GoPro cameras and Tsai's calibration for video-based submerged river-bed reconstruction2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)10.1109/IVCNZ.2016.7804465(1-6)Online publication date: Nov-2016
https://doi.org/10.1109/IVCNZ.2016.7804465
Li WGee TDelmas PFriedrich H(2015)Tsai's calibration applied for close-range hydraulic engineering research2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)10.1109/IVCNZ.2015.7761531(1-6)Online publication date: Nov-2015
https://doi.org/10.1109/IVCNZ.2015.7761531
Ragni MTseden BKnauff M(2007)Cross-cultural similarities in topological reasoningProceedings of the 8th international conference on Spatial information theory10.5555/1778866.1778870(32-46)Online publication date: 19-Sep-2007
https://dl.acm.org/doi/10.5555/1778866.1778870

Index Terms

The Ngongotaha river UDPS experiment: low-cost underwater dynamic stereo photogrammetry
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging

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cover image ACM Other conferences

IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand

November 2012

547 pages

ISBN:9781450314732

DOI:10.1145/2425836

Editors:
Brendan McCane
University of Otago
,
Steven Mills
University of Otago
,
Jeremiah Deng
University of Otago

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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HRS: Hoare Research Software Ltd.
Google Inc.
Dept. of Information Science, Univ.of Otago: Department of Information Science, University of Otago, Dunedin, New Zealand

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 November 2012

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IVCNZ '12

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HRS
Dept. of Information Science, Univ.of Otago

IVCNZ '12: Image and Vision Computing New Zealand

November 26 - 28, 2012

Dunedin, New Zealand

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Cited By

Li WGee TDelmas PFriedrich H(2016)Evaluating using GoPro cameras and Tsai's calibration for video-based submerged river-bed reconstruction2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)10.1109/IVCNZ.2016.7804465(1-6)Online publication date: Nov-2016
https://doi.org/10.1109/IVCNZ.2016.7804465
Li WGee TDelmas PFriedrich H(2015)Tsai's calibration applied for close-range hydraulic engineering research2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)10.1109/IVCNZ.2015.7761531(1-6)Online publication date: Nov-2015
https://doi.org/10.1109/IVCNZ.2015.7761531
Ragni MTseden BKnauff M(2007)Cross-cultural similarities in topological reasoningProceedings of the 8th international conference on Spatial information theory10.5555/1778866.1778870(32-46)Online publication date: 19-Sep-2007
https://dl.acm.org/doi/10.5555/1778866.1778870

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