![](bg8.png)
Yoshihiko (2005). Laser-scan endoscope system for
intraoperative geometry acquisition and surgical robot
safety management. Special Issue on Functional
Imaging and Modelling of the Heart (FIMH 2005),
Volume 10, Issue 4, August 2006, Pages 509-519.
Chang, PL., Handa, A., Davison, A.J., Stoyanov, D.,
Edwards, P.. (2014). Robust Real-Time Visual
Odometry for Stereo Endoscopy Using Dense
Quadrifocal Tracking. International Conference on
Information Processing in Computer-Assisted
Interventions (IPCAI 2014), pp 11-20.
Stoyanov, Danail, Scarzanella, Marco Visentini, Pratt,
Philip, Yang, Guang-Zhong (2010). Real-Time Stereo
Reconstruction in Robotically Assisted Minimally
Invasive Surgery. Medical Image Computing and
Computer-Assisted Intervention – MICCAI 2010, pp
275-282.
Mourgues, F., Devemay, F., and Coste-Maniere, E.
(2001). 3D reconstruction of the operating field for
image overlay in 3D-endoscopic surgery. In
Proceedings of the IEEE and ACM International
Symposium on Augmented Reality (ISAR '01), pp.
191–192, New York, NY, USA.
Schmalz, Christoph, Forster, Frank, Schick, Anton,
Angelopoulou, Elli (2012). An endoscopic 3D
scanner based on structured light. Medical Image
Analysis, Volume 16, Issue 5, July 2012, Pages 1063-
1072.
Iwahori, Yuji, Sugie, Hidezumi, Ishii, Naohiro (1990).
Reconstructing shape from shading images under
point light source illumination. International
Conference on Pattern Recognition (ICPR), i. 83 - 87
vol.1. 10.1109/ICPR.1990.118069.
Wang, Guo-hui, Han, Jiu-qiang and Zhang, Xin-man
(2009). Three-dimensional reconstruction of
endoscope images by a fast shape from shading
method. Measurement Science and Technology,
Volume 20, Number 12.
Wu, Chenyu, Narasimhan, Srinivasa G., Jaramaz,
Branislav (2010). A Multi-Image Shape-from-Shading
Framework for Near-Lighting Perspective
Endoscopes. International Journal of Computer
Vision, January 2010, Volume 86, Issue 2–3, pp 211–
228.
Grasa, O.G., Civera, J., Guemes, A., Munoz, V. and
Montiel, J.M.M. (2009). EKF monocular SLAM 3D
modeling, measuring and augmented reality from
endoscope image sequences. Medical image
computing and computer-assisted intervention
(MICCAI) (Vol. 2).
Mahmoud, N., Cirauqui, I., Hostettler, A., Doignon, C.,
Soler, L., Marescaux, J. and Montiel, J.M.M. (2016).
Orbslam-based endoscope tracking and 3d
reconstruction. International Workshop on Computer-
Assisted and Robotic Endoscopy (pp. 72-83). Springer,
Cham.
Newcombe, R.A., Lovegrove, S.J. and Davison, A.J.,
2011, November. DTAM: Dense tracking and
mapping in real-time. Computer Vision (ICCV), 2011
IEEE International Conference (pp. 2320-2327).
IEEE.
Peris, M., Martull, S., Maki, A., Ohkawa, Y. and Fukui, K.
(2012). Towards a simulation driven stereo vision
system. In Pattern Recognition (ICPR), 2012 21st
International Conference on (pp. 1038-1042). IEEE.
Martull, S., Peris, M. and Fukui, K. (2012). Realistic CG
stereo image dataset with ground truth disparity maps.
In ICPR workshop TrakMark2012 (Vol. 111, No. 430,
pp. 117-118).
Bertalmio, M., Bertozzi, A.L. and Sapiro, G. (2001).
Navier-stokes, fluid dynamics, and image and video
inpainting. In Computer Vision and Pattern
Recognition, 2001. CVPR 2001. Proceedings of the
2001 IEEE Computer Society Conference on (Vol. 1,
pp. I-I). IEEE.
Telea, A. (2004). An image inpainting technique based on
the fast marching method. Journal of graphics tools,
9(1), pp.23-34.
BIOIMAGING 2018 - 5th International Conference on Bioimaging
166