M. Gergatsoulis, L. Bountouri, P. Gaitanou, and C. Papatheodorou, Mapping Cultural Metadata Schemas to CIDOC Conceptual Reference Model, Proceedings of the 6th Hellenic Conference on AI, vol.210, pp.321-326, 2010.

F. Niccolucci and A. ;-d'andrea, An Ontology for 3D Cultural Objects, Proceedings of the 7th International Symposium on Virtual Reality, Archaeology and Cultural Heritage VAST, 2006.

J. Watson and . Bsac, SAFETY TALK-Depth Limits, p.11, 2006.

. Legifrance, Arrêté du 30 Octobre 2012 Relatif Aux Travaux Subaquatiques Effectués en Milieu hyperbare, p.11, 2012.

P. Drap, D. Merad, A. Mahiddine, J. Seinturier, D. Peloso et al., Underwater Photogrammetry for Archaeology. What Will Be the Next Step?, Int. J. Herit. Digit. Era, vol.2, pp.375-394, 2013.

O. Buchsenschutz, Images et Relevés Archéologiques, de la Preuve à la Démonstration in 132e Congrès National des Sociétés Historiques et Scientifiques; Les éditions du Cths (édition électronique), p.30381, 2007.

, Sensors, vol.15, pp.30351-30384, 2015.

E. C. Harris, Principles of Archaeological Stratigraphy, 1979.

P. Drap, J. Seinturier, D. Merad, B. Chemisky, E. Seguin et al., Système de Prise D'images Permettant L'odométrie en Temps Réel et la Réalisation d'un Modèle Tridimensionnel. France Patent Number 10000249064, 2014.

M. Lourakis and A. Argyros, SBA: A software package for generic sparse bundle adjustment, ACM Trans. Math. Softw, vol.36, pp.1-30, 2009.

C. Monroy, R. Furuta, and F. Castro, Synthesizing and Storing Maritime Archaeological Data for Assisting in Ship Reconstruction, In Oxford Handbook of Maritime Archaeology, pp.327-346, 2011.

J. Doyle and R. S. Patil, Two Theses of Knowledge Representation: Language Restrictions, Taxonomic Classification, and the Utility of Representation Services, Artif. Intell, vol.48, pp.261-297, 1991.

O. Faugeras, Q. Luong, and T. Papadopoulou, The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications, 2001.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2003.

B. Triggs, P. F. Mclauchlan, R. I. Hartley, and A. W. Fitzgibbon, Bundle Adjustment-A Modern Synthesis, Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, pp.298-373, 1999.
DOI : 10.1007/3-540-44480-7_21
URL : https://hal.archives-ouvertes.fr/inria-00548290

J. Xue and X. Su, A new approach for the bundle adjustment problem with fixed constraints in stereo vision, Optik Int. J. Light Electron Opt, vol.123, pp.1923-1927, 2012.

N. Suenderhauf, K. Konolidge, S. Lacroix, and P. Protzel, Visual Odometry using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle

, Reihe Informatik aktuell

Y. Furukawa and J. Ponce, Accurate, Dense, and Robust Multiview Stereopsis, IEEE Trans. Pattern Anal. Mach. Intell, vol.32, pp.1362-1376, 2010.
DOI : 10.1109/tpami.2009.161

P. Drap, J. Seinturier, and L. Long, A photogrammetric process driven by an Expert System: A new approach for underwater archaeological surveying applied to the "Grand Ribaud F" Etruscan wreck, Applications of Computer Vision in Archaeology ACVA'03, 2003.
URL : https://hal.archives-ouvertes.fr/halshs-00271408

J. Seinturier, P. Drap, and O. Papini, Fusion réversible: Application à l'information l'archéologique, Journées Nationales sur les Modèles de Raisonnement (JNMR 2003), 2003.

R. Torres and J. , Las Anforas Fenicio-punIca del MedIterraneo Central y Occidental, 1995.

P. Grussenmeyer and P. Drap, Teaching Architectural Photogrammetry on the Web with ARPENTEUR, Proceedings of the XIXth Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) Geoinformation for all, pp.16-22, 2000.
URL : https://hal.archives-ouvertes.fr/halshs-00281261

O. Curé, M. Sérayet, O. Papini, and P. Drap, Toward a novel application of CIDOC CRM to underwater archaeological surveys, Proceedings of the 4th IEEE International Conference on Semantic Computing, pp.22-24, 2010.

J. Hué, M. Sérayet, P. Drap, O. Papini, and E. Wurbel, Underwater archaeological 3D surveys validation within the removed sets framework, Proceedings of the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011.

M. Sérayet, P. Drap, and O. Papini, Encoding the Revision of Partially Preordered Information in Answer Set Programming, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009.

J. Seinturier, Fusion de Connaissances: Applications aux Relevés photogrammétriques de fouilles archéologiques sous-marines

, Spécialité Informatique, 2007.

M. Sérayet, P. Drap, and O. Papini, Extending Removed Sets Revision to partially preordered belief bases, Int. J. Approx. Reason, vol.52, pp.110-126, 2011.

N. Amico, P. Ronzino, A. Felicetti, and F. Niccolucci, Quality management of 3D cultural heritage replicas with CIDOC-CRM, Proceedings of the CEUR 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), vol.1117, pp.61-69, 2013.

G. Hiebel, K. Hanke, and I. Hayek, Methodology for CIDOC CRM Based Data Integration with Spatial Data, Proceedings of the 38th Conference on Computer Applications and Quantitative Methods in Archaeology, pp.6-9, 2010.

P. Xueming, P. Beckman, S. Havemann, K. Tzompanaki, M. Doerr et al., A Distributed Object Repository for Cultural Heritage, Proceedings of the 11th International Symposium on Virtual Reality, Archaeology and Cultural Heritage VAST, pp.21-24, 2010.

C. Zhang and T. Chen, Efficient feature extraction for 2D/3D objects in mesh representation, Proceedings of the 2001 International Conference on Image Processing, vol.3, pp.935-938, 2001.

E. Paquet, M. Rioux, A. M. Murching, T. Naveen, and A. J. Tabatabai, Description of shape information for 2-D and 3-D objects, Sig. Proc. Image Commun, vol.16, pp.103-122, 2000.

R. Ohbuchi, T. Otagiri, M. Ibato, and T. Takei, Shape-similarity search of three-dimensional models using parameterized statistics, Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, pp.265-274, 2002.

C. Chua and R. Jarvis, Point Signatures: A New Representation for 3D Object Recognition, Int. J. Comput. Vis, vol.25, pp.63-85, 1997.

A. E. Johnson and M. Hebert, Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes, IEEE Trans. Pattern Anal. Mach. Intell, vol.21, pp.433-449, 1999.

A. S. Mian, M. Bennamoun, and R. A. Owens, 3D Recognition and Segmentation of Objects in Cluttered Scenes, Proceedings of the Seventh IEEE Workshops on.Application of Computer Vision, pp.8-13, 2005.

L. Yi, Z. Hongbin, and Q. Hong, Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval, Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.17-22, 2006.

T. B. Sebastian, P. N. Klein, and B. B. Kimia, On aligning curves, IEEE Trans Pattern Anal. Mach. Intell, vol.25, pp.116-125, 2003.

A. E. Johnson and M. Hebert, Using spin images for efficient object recognition in cluttered 3D scenes, IEEE Trans Pattern Anal. Mach. Intell, vol.21, pp.433-449, 1999.

R. B. Rusu, N. Blodow, and M. Beetz, Fast Point Feature Histograms (FPFH) for 3D Registration, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp.12-17, 2009.

S. Malassiotis and M. G. Strintzis, Snapshots: A Novel Local Surface Descriptor and Matching Algorithm for Robust 3D Surface Alignment, IEEE Trans Pattern Anal. Mach. Intell, vol.29, pp.1285-1290, 2007.

N. D. Cornea, M. F. Demirci, D. Silver, A. Shokoufandeh, S. J. Dickinson et al., 3D object retrieval using many-to-many matching of curve skeletons, Proceedings of the 2005 International Conference Shape Modeling and Applications, pp.366-371, 2005.

Y. Keselman, A. Shokoufandeh, M. F. Demirci, and S. Dickinson, Many-to-many graph matching via metric embedding, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.1, pp.850-857, 2003.

Y. Sun and M. A. Abidi, Surface matching by 3D point's fingerprint, Proceedings of the Eighth IEEE International Conference on Computer Vision, vol.2, pp.263-269, 2001.

, The Stanford 3D Scanning Repository, 2015.

D. Chen, X. Tian, Y. Shen, and M. Ouhyoung, On Visual Similarity Based 3D Model Retrieval, Comput. Graph. Forum, vol.22, pp.223-232, 2003.

A. S. Mian, M. Bennamoun, and R. Owens, Three-dimensional model-based object recognition and segmentation in cluttered scenes, IEEE Trans. Pattern Anal. Mach. Intell, vol.28, pp.1584-1601, 2006.

M. Cui, J. Femiani, J. Hu, P. Wonka, and A. Razdan, Curve matching for open 2D curves, Pattern Recognit. Lett, vol.30, pp.1-10, 2009.

, Sensors, vol.15, pp.30351-30384, 2015.

A. Mahiddine, D. Merad, P. Drap, and J. M. Boi, Partial 3D-object retrieval using level curves, Proceedings of the 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR), pp.11-14, 2014.

D. Aiger and N. J. Mitra, Cohen-Or, D. 4-Points congruent sets for robust pairwise surface registration, ACM SIGGRAPH, pp.1-10, 2008.

P. Reuter, M. Nicolas, G. Xavier, H. Isabelle, V. Robert et al., Semi-Automatic 3D Acquisition and Reassembly of Cultural Heritage: The Search Project, ERCIM News ICT Cult. Herit, vol.86, pp.12-13, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00628506

A. Agarwal and B. Triggs, Hyperfeatures-multilevel local coding for visual recognition, In Computer Vision-ECCV, pp.30-43, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00548592

L. Fei-fei, One-Shot Learning of Object Categories, IEEE Trans. Pattern Anal. Mach. Intell, vol.28, pp.594-611, 2006.

A. Frome, D. Huber, and R. Kolluri, Recognizing Objects in Range Data Using Regional Point Descriptors

B. Fei and J. Liu, Binary Tree of SVM: A New Fast Multiclass Training and claSsification Algorithm, vol.17, pp.696-704, 2006.

J. Weston and C. Watkins, Multi-Class Support Vector Machines, 1998.

P. Baker and J. Green, Recording Techniques used during the excavation of the Batavia, Int. J. Marit. Archaeol, vol.5, pp.143-158, 1976.

C. O. Cederlund, Preliminary report on recording methods used for the investigation of merchant shipwrecks at Jutholmen and Alvsnabben, Int. J. Marit. Archaeol, vol.6, pp.87-99, 1977.

P. Leonard and S. Scheifele, An underwater measuring device, J. Marit. Archaeol, vol.1, pp.165-186, 1972.

O. Crumlin-pedersen, Archaeology and the Sea in Scandinavia and Britain. A Personal Account; Viking Ship Museum Vindeboder 12 DK-4000 Roskilde: Denmark, vol.3, 2010.

C. Monroy, A digital library approach to the reconstruction of ancient sunken ships, Computer Science

A. Texas and . University, , 2010.

C. Monroy, R. Furuta, and F. Castro, Ask Not What Your Text Can do For You. Ask What You Can do For Your Text (a Dictionary's Perspective)

, Conference Abstracts, pp.344-347, 2009.

C. Monroy, R. Furuta, and F. Castro, Texts, illustrations, and physical objects: The case of ancient shipbuilding treatises, Research and Advanced Technology for Digital Libraries

L. Kovács, N. Fuhr, and C. Meghini, , pp.198-209, 2007.

C. Monroy, R. Furuta, and F. Castro, A multilingual approach to technical manuscripts: 16th and 17th-century Portuguese shipbuilding treatises, Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries, pp.413-414, 2007.

C. Monroy, R. Furuta, and F. Castro, Design of a Computer-Based Frame to Store, Manage, and Divulge Information from Underwater Archaeological Excavations: The Pepper Wreck Case, Proceedings of the Society for Historical Archaelogy Annual Meeting, pp.8-13, 2008.

, Convention on the Protection of the Underwater Cultural Heritage, UNESCO, p.30, 2001.