Université d'Auvergne Clermont1 | CNRS



Export 1170 results:
Sort by: Author [ Title  (Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Bartoli, A., M. Magnor, C. Theobalt, and (E.) Fisher RB, "", 3DPVT'10 - Proceedings of the Fifth Int’l Symp. on 3D Data Processing, Visualization and Transmission, Paris, France, Eurographics, may, 2010.
Lepetit, V., A. Bronstein, M. Bronstein, A. Bartoli, R. Kimmel, and (E.) Navab N, "", NORDIA'08 – Proceedings of the Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Workshop associated to CVPR'08, Anchorage, Alaska, USA, ieee Computer Society Press, jun, 2008.
Samir, C., A. Srivastava, and M. Daoudi, "3D Face Recognition Using Shapes of Facial Curves", Statistical inferences on nonlinear manifolds with applications in signal and image processing, special session IEEE ICASSP, Toulouse, France, 14-19, May, 2006.
Othmani, A., F. Torkhani, and J. - M. Favreau, "3D Geometric salient textures analysis on 3D meshes", international conference on Computational Visual Media, Cardiff, 2016, Submitted.
Albouy, B., Y. Lucas, and S. Treuillet, "3D Modeling from Uncalibrated Color Images for a Complete Wound Assessment Tool", IEEE Engineering in Medicine and Biology Society, Lyon, pp. 3323-3326, 2007.
Collins, T., and A. Bartoli, "3D Reconstruction in Laparoscopy with Close-Range Photometric Stereo", Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, 2012.
Gerard, Y., "About the Complexity of Timetables and 3-Dimensional Discrete Tomography: A Short Proof of NP-Hardness", Proceedings of the 13th International Workshop on Combinatorial Image Analysis, vol. 5852: Springer-Verlag, pp. 289-301, 2009.
Albouy, B., E. Koenig, S. Treuillet, and Y. Lucas, "Accurate 3D Structure Measurements from Two Uncalibrated Views", International Conference of Advanced Concepts for Intelligent Vision Systems, Springer Berlin / Heidelberg: ACIVS 2006, LNCS 4179, pp. 1111-1121, 2006.
Aouadi, S., and L. Sarry, "Accurate and precise 2D-3D registration based on X-ray intensity", Computer Vision and Image Understanding, vol. 110, no. 1, pp. 134-151, 2008. Abstract