P. Alliez, S. Tayeb, and C. Wormser, 3d fast intersection and distance computation (aabb tree)

M. Attene, B. Falcidieno, J. Rossignac, and M. Spagnuolo, Edge-sharpener: Recovering sharp features in triangulations of non-adaptively re-meshed surfaces, ACM Symposium on Geometry Processing, 2003.

C. Beder, B. Bartczak, and R. Koch, A Comparison of PMD-Cameras and Stereo-Vision for the Task of Surface Reconstruction using Patchlets, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383348

F. Blais and M. Rioux, Real-time numerical peak detector, Signal Processing, vol.11, issue.2, pp.145-155, 1985.
DOI : 10.1016/0165-1684(86)90033-2

R. L. Carceroni and K. N. Kutulakos, Multi-view scene capture by surfel sampling: from video streams to non-rigid 3D motion, shape and reflectance, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002.
DOI : 10.1109/ICCV.2001.937603

J. Y. Chang, K. M. Lee, L. , and S. , Multiview normal field integration using level set methods, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383357
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.1755

B. Coudrin, M. Devy, J. J. Orteu, and L. Brèthes, Registration strategies of 3d images acquired from a hand-held visual sensor, 3D-IMS, Conference on 3D-Imaging of Materials and Systems, 2010.

B. Coudrin, M. Devy, J. J. Orteu, and L. Brèthes, An innovative hand-held vision-based digitizing system for 3D modelling, Optics and Lasers in Engineering, vol.49, issue.9-10, pp.1168-1176, 2011.
DOI : 10.1016/j.optlaseng.2011.05.004
URL : https://hal.archives-ouvertes.fr/hal-01171130

B. Curless and M. Levoy, A volumetric method for building complex models from range images, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques , SIGGRAPH '96, 1996.
DOI : 10.1145/237170.237269

A. J. Davison, Real-time simultaneous localisation and mapping with a single camera, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1403-1410, 2003.
DOI : 10.1109/ICCV.2003.1238654

A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, MonoSLAM: Real-Time Single Camera SLAM, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, 2007.
DOI : 10.1109/TPAMI.2007.1049

J. F. Ferreira, J. Lobo, and J. Dias, A 3D scanner ? Three-dimensional reconstruction from multiple images, First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02), 2002.

Y. Furukawa, B. Curless, S. M. Seitz, and R. Szeliski, Clustering views for multi-view stereo, 2011.

Y. Furukawa, J. Ponce, Y. Furukawa, and J. Ponce, Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment, International Journal of Computer Vision, vol.59, issue.3, pp.257-268, 2009.
DOI : 10.1007/s11263-009-0232-2

R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2004.
DOI : 10.1017/CBO9780511811685

C. Hernández and F. Schmitt, Silhouette and stereo fusion for 3D object modeling, Computer Vision and Image Understanding, vol.96, issue.3, pp.367-392, 2004.
DOI : 10.1016/j.cviu.2004.03.016

M. Lourakis, Sparse Non-linear Least Squares Optimization for Geometric Vision, European Conference on Computer Vision, pp.43-56, 2010.
DOI : 10.1007/978-3-642-15552-9_4

F. Lu and E. Milios, Globally consistent range scan alignment for environment mapping, Autonomous Robots, vol.4, issue.4, pp.333-349, 1997.
DOI : 10.1023/A:1008854305733

M. Geronès and C. , 3D hand-held sensor for large surface registration, 2007.

J. Harvent, B. Coudrin, L. Brèthes, J. J. Orteu, and M. , Devy (a) Engraved maraca Left : Standard stereovision method Right : Our multi-view stereo method (b) Ball with seams. Left : Standard stereovision method. Right : Our multi-view stereo method (c) Turbine blade. Left : Standard stereovision method. Right : Our multi-view stereo method Fig. 13 Some reconstruction examples using pairwise stereovision method and our MVS method with five pairs and a window size of 7 pixels 21 Unified inverse depth parametrization for monocular slam, RSS, 2006.

D. Murray, J. J. Little, and . Patchlets, Patchlets: Representing Stereo Vision Data with Surface Elements, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05), Volume 1, 2005.
DOI : 10.1109/ACVMOT.2005.90

R. A. Newcombe and A. J. Davison, Live dense reconstruction with a single moving camera, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539794

J. Nieto, T. Bailey, and E. Nebot, Scan-SLAM: Combining EKF-SLAM and Scan Correlation, FSR, 2005.
DOI : 10.1007/978-3-540-33453-8_15

A. Nüchter, K. Lingemann, J. Hertzberg, and H. Surmann, 6-d slam-3d mapping outdoor environments 6d slam with an application in autonomous mine mapping, IEEE International Conference on Robotics and Automation, pp.1998-2003, 2004.

C. F. Olson, L. H. Matthies, M. Schoppers, and M. W. Maimone, Rover navigation using stereo ego-motion, Robotics and Autonomous Systems, vol.43, issue.4, pp.215-229, 2003.
DOI : 10.1016/S0921-8890(03)00004-6

Q. Pan, G. Reitmayr, and T. W. Drummond, Interactive model reconstruction with user guidance, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, pp.209-210, 2009.
DOI : 10.1109/ISMAR.2009.5336460

L. M. Paz, P. Pinies, J. D. Tardos, and J. Neira, Largescale 6-dof slam with stereo-in-hand, IEEE Trans. on Robotics, vol.24, 2008.

M. Pollefeys, L. Van-gool, M. Vergauwen, F. Verbiest, K. Cornelis et al., Visual Modeling with a Hand-Held Camera, International Journal of Computer Vision, vol.59, issue.3, pp.207-232, 2004.
DOI : 10.1023/B:VISI.0000025798.50602.3a

J. P. Pons, R. Keriven, and O. Faugeras, Modelling Dynamic Scenes by Registering Multi-View Image Sequences, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.227

S. Rusinkiewicz and M. Levoy, Efficient variants of the ICP algorithm, Proceedings Third International Conference on 3-D Digital Imaging and Modeling, 2001.
DOI : 10.1109/IM.2001.924423

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.7-42, 2002.
DOI : 10.1109/SMBV.2001.988771

R. Wildes, S. Se, and P. Jasiobedzki, Stereo-vision based 3d modeling of space structures. Sensors and Systems for Space Applications, 2007.

S. M. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski, A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.519-528, 2006.
DOI : 10.1109/CVPR.2006.19

L. Silva, O. R. Bellon, and K. L. Boyer, Multiview range image registration using the surface interpenetration measure, Image and Vision Computing, vol.25, issue.1, pp.114-125, 2007.
DOI : 10.1016/j.imavis.2005.12.005

J. Sola, A. Monin, and M. Devy, BiCamSLAM: Two times mono is more than stereo, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.4795-4800, 2007.
DOI : 10.1109/ROBOT.2007.364218

K. H. Strobl, E. Mair, T. Bodenmüller, S. Kielhöfer, W. Sepp et al., The self-referenced DLR 3D-modeler, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.
DOI : 10.1109/IROS.2009.5354708

M. A. Sutton, J. J. Orteu, and H. W. Schreier, Image Correlation for Shape, Motion and Deformation Measurements ? Basic Concepts, Theory and Applications, 2009.

R. Szeliski, Computer Vision: Algorithms and Applications, 2011.
DOI : 10.1007/978-1-84882-935-0

B. Triggs, P. Mclauchlan, R. Hartley, and A. Fitzgibbon, Bundle Adjustment ??? A Modern Synthesis, 2000.
DOI : 10.1007/3-540-44480-7_21
URL : https://hal.archives-ouvertes.fr/inria-00548290

H. H. Vu, P. Labatut, R. Keriven, and J. P. Pons, High accuracy and visibility-consistent dense multi-view stereo, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2012.

C. Wu, B. Wilburn, Y. Matsushita, and C. Theobalt, High-quality shape from multi-view stereo and shading under general illumination, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995388

A. Zaharescu, E. Boyer, and R. P. Horaud, Topologyadaptative mesh deformation for surface evolution, morphing , and multi-view reconstruction, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2011.

Z. Zhang, A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.11, pp.1330-1334, 2000.
DOI : 10.1109/34.888718

Z. Chen, Z. Zheng, and L. Ma, An extended photometric stereo algorithm for recovering specular object shape and its reflectance properties, ComSIS, vol.7, issue.1, 2010.