![](bg8.png)
In 2010 IEEE/RSJ International Conference on Intel-
ligent Robots and Systems (IROS), pages 4418 – 4423.
Brandou, V., Allais, A. G., Perrier, M., Malis, E., Rives,
P., Sarrazin, J., and Sarradin, P. M. (2007). 3D re-
construction of natural underwater scenes using the
stereovision system IRIS. In OCEANS 2007 - Europe,
pages 1–6.
Chang, Y.-J. and Chen, T. (2011). Multi-view 3D recon-
struction for scenes under the refractive plane with
known vertical direction. In ICCV’11, pages 351 –
358.
Chari, V. and Sturm, P. (2009). Multiple-view geometry of
the refractive plane. In Proceedings of the 20th British
Machine Vision Conference, London, UK.
Eustice, R. M., Pizarro, O., and Singh, H. (2008). Visu-
ally augmented navigation for autonomous underwa-
ter vehicles. IEEE Journal of Oceanic Engineering,
33(2):103–122.
Ferreira, R., Costeira, J. P., and Santos, J. A. (2005). Stereo
reconstruction of a submerged scene. In Proceedings
of the Second Iberian conference on Pattern Recogni-
tion and Image Analysis - Volume Part I, IbPRIA’05,
pages 102–109.
Gedge, J., Gong, M., and Yang, Y. (2011). Refractive epipo-
lar geometry for underwater stereo matching. In 2011
Canadian Conference on Computer and Robot Vision
(CRV), pages 146–152.
Gracias, N. and Santos-Victor, J. (2000). Underwater video
mosaics as visual navigation maps. Computer Vision
and Image Understanding, 79:66 –91.
Ishibashi, S. (2011). The study of the underwater camera
model. In OCEANS, 2011 IEEE - Spain, pages 1–6.
Johnson-Roberson, M., Pizarro, O., Williams, S. B., and
Mahon, I. (2010). Generation and visualization
of large-scale three-dimensional reconstructions from
underwater robotic surveys. Journal of Field Robotics,
27(1):21–51.
Jordt-Sedlazeck, A. and Koch, R. (2012). Refractive cali-
bration of underwater cameras. In Proceedings of the
12th European conference on Computer Vision - Vol-
ume Part V, ECCV’12, pages 846–859.
Ke, X., Sutton, M. A., Lessner, S. M., and Yost, M. (2008).
Robust stereo vision and calibration methodology for
accurate three-dimensional digital image correlation
measurements on submerged objects. Journal of
Strain Analysis for Engineering Design, 43(8):689–
704.
Kunz, C. and Singh, H. (2008). Hemispherical refrac-
tion and camera calibration in underwater vision. In
OCEANS 2008, pages 1–7.
Kunz, C. and Singh, H. (2010). Stereo self-calibration for
seafloor mapping using AUVs. In Autonomous Under-
water Vehicles (AUV), 2010 IEEE/OES, pages 1–7.
Kwon, Y.-H. and Casebolt, J. B. (2006). Effects of light
refraction on the accuracy of camera calibration and
reconstruction in underwater motion analysis. Sports
Biomechanics / International Society of Biomechanics
in Sports, 5(2):315–340.
Lavest, J. M., Rives, G., and Lapreste, J. T. (2003). Dry
camera calibration for underwater applications. Mach.
Vision Appl., 13(5-6):245 – 253.
Li, R., Li, H., Zou, W., Smith, R. G., and Curran, T. A.
(1997). Quantitative photogrammetric analysis of
digital underwater video imagery. IEEE Journal of
Oceanic Engineering, 22(2):364–375.
Maas, H.-G. (1995). New developments in multimedia
photogrammetry. Symposium A Quarterly Journal In
Modern Foreign Literatures, 8(3):150 – 5.
McKinnon, D., He, H., Upcroft, B., and Smith, R. N.
(2011). Towards automated and in-situ, near-real time
3-d reconstruction of coral reef environments. In
OCEANS’11 MTS/IEEE Kona Conference.
Meline, A., Triboulet, J., and Jouvencel, B. (2010). A cam-
corder for 3D underwater reconstruction of archeolog-
ical objects. In OCEANS 2010, pages 1–9.
Pessel, N., Opderbecke, J., and Aldon, M. J. (2003). An ex-
perimental study of a robust self-calibration method
for a single camera. In Proceedings of the 3rd Inter-
national Symposium on Image and Signal Processing
and Analysis, 2003. ISPA 2003, volume 1, pages 522–
527.
Pizarro, O., Eustice, R. M., and Singh, H. (2009). Large
area 3-D reconstructions from underwater optical
surveys. IEEE Journal of Oceanic Engineering,
34(2):150–169.
Sedlazeck, A. and Koch, R. (2011). Calibration of hous-
ing parameters for underwater Stereo-Camera rigs. In
Proceedings of the British Machine Vision Confer-
ence, pages 118.1 – 118.11.
Sedlazeck, A. and Koch, R. (2012). Perspective and non-
perspective camera models in underwater imaging -
overview and error analysis. In Outdoor and Large-
Scale Real-World Scene Analysis, volume 7474 of
Lecture Notes in Computer Science. Springer Berlin
Heidelberg.
Sedlazeck, A., Koser, K., and Koch, R. (2009). 3D recon-
struction based on underwater video from ROV kiel
6000 considering underwater imaging conditions. In
OCEANS 2009 - EUROPE, pages 1–10.
Shortis, M., Harvey, E., and Abdo, D. (2009). A review
of underwater stereo-image measurement for marine
biology and ecology applications. In Oceanography
and Marine Biology, volume 20092725, pages 257–
292. CRC Press.
Shortis, M. R. and Harvey, E. S. (1998). Design and cali-
bration of an underwater stereo-video system for the
monitoring of marine fauna populations. Interna-
tional Archives Photogrammetry and Remote Sensing,
32(5):792–799.
Silvatti, A. P., Salve Dias, F. A., Cerveri, P., and Barros,
R. M. (2012). Comparison of different camera calibra-
tion approaches for underwater applications. Journal
of Biomechanics, 45(6):1112–1116.
Telem, G. and Filin, S. (2010). Photogrammetric modeling
of underwater environments. ISPRS Journal of Pho-
togrammetry and Remote Sensing, 65(5):433–444.
Treibitz, T., Schechner, Y., Kunz, C., and Singh, H. (2012).
Flat refractive geometry. IEEE Transactions on Pat-
tern Analysis and Machine Intelligence, 34:51–65.
Yamashita, A., Kato, S., and Kaneko, T. (2006). Robust
sensing against bubble noises in aquatic environments
with a stereo vision system. In Proceedings 2006
IEEE International Conference on Robotics and Au-
tomation, 2006. ICRA 2006, pages 928–933.
ConvertingUnderwaterImagingintoImaginginAir
103